Usage Statistics for archive.ics.uci.edu

Summary Period: October 2010
Generated 01-May-2012 06:09 PDT

[Daily Statistics] [Hourly Statistics] [URLs] [Entry] [Exit] [Sites] [Referrers] [Search] [Agents] [Countries]

Monthly Statistics for October 2010
Total Hits 104364
Total Files 85048
Total Pages 37216
Total Visits 1944
Total KBytes 27460550
Total Unique Sites 1670
Total Unique URLs 1540
Total Unique Referrers 707
Total Unique User Agents 732
. Avg Max
Hits per Hour 4348 7453
Hits per Day 104364 104364
Files per Day 85048 85048
Pages per Day 37216 37216
Sites per Day 1670 1670
Visits per Day 1944 1944
KBytes per Day 27460550 27460550
Hits by Response Code
Code 200 - OK 81.49% 85048
Code 206 - Partial Content 0.57% 592
Code 301 - Moved Permanently 0.56% 580
Code 302 - Found 0.02% 23
Code 304 - Not Modified 11.34% 11835
Code 404 - Not Found 5.96% 6222
Code 405 - Method Not Allowed 0.05% 55
Code 416 - Requested Range Not Satisfiable 0.01% 9

Daily usage for October 2010

Daily Statistics for October 2010
Day Hits Files Pages Visits Sites KBytes
31 104364 100.00% 85048 100.00% 37216 100.00% 1944 100.00% 1670 100.00% 27460550 100.00%

Hourly usage for October 2010

Hourly Statistics for October 2010
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 0 0 0.00% 0 0 0.00% 0 0 0.00% 0 0 0.00%
1 0 0 0.00% 0 0 0.00% 0 0 0.00% 0 0 0.00%
2 0 0 0.00% 0 0 0.00% 0 0 0.00% 0 0 0.00%
3 0 0 0.00% 0 0 0.00% 0 0 0.00% 0 0 0.00%
4 4374 4374 4.19% 3791 3791 4.46% 1606 1606 4.32% 132665 132665 0.48%
5 6787 6787 6.50% 5380 5380 6.33% 2715 2715 7.30% 2384874 2384874 8.68%
6 7453 7453 7.14% 5518 5518 6.49% 2636 2636 7.08% 3322955 3322955 12.10%
7 6560 6560 6.29% 4914 4914 5.78% 2184 2184 5.87% 4126017 4126017 15.03%
8 5044 5044 4.83% 4021 4021 4.73% 1768 1768 4.75% 995290 995290 3.62%
9 4444 4444 4.26% 3872 3872 4.55% 1722 1722 4.63% 3794076 3794076 13.82%
10 5237 5237 5.02% 4044 4044 4.75% 1395 1395 3.75% 441245 441245 1.61%
11 4005 4005 3.84% 3400 3400 4.00% 1349 1349 3.62% 2180797 2180797 7.94%
12 4076 4076 3.91% 3540 3540 4.16% 876 876 2.35% 108052 108052 0.39%
13 4391 4391 4.21% 3811 3811 4.48% 1552 1552 4.17% 1254304 1254304 4.57%
14 3466 3466 3.32% 2887 2887 3.39% 1188 1188 3.19% 169509 169509 0.62%
15 4164 4164 3.99% 3811 3811 4.48% 1441 1441 3.87% 407196 407196 1.48%
16 3193 3193 3.06% 2802 2802 3.29% 1097 1097 2.95% 352395 352395 1.28%
17 4132 4132 3.96% 3642 3642 4.28% 1336 1336 3.59% 309575 309575 1.13%
18 6524 6524 6.25% 5231 5231 6.15% 2362 2362 6.35% 1178829 1178829 4.29%
19 6329 6329 6.06% 4596 4596 5.40% 2148 2148 5.77% 850981 850981 3.10%
20 7313 7313 7.01% 5695 5695 6.70% 2598 2598 6.98% 82309 82309 0.30%
21 5886 5886 5.64% 5194 5194 6.11% 2856 2856 7.67% 233018 233018 0.85%
22 5135 5135 4.92% 3731 3731 4.39% 2075 2075 5.58% 4187287 4187287 15.25%
23 5851 5851 5.61% 5168 5168 6.08% 2312 2312 6.21% 949174 949174 3.46%

Top 100 of 1540 Total URLs
# Hits KBytes URL
1 24663 23.63% 449667 1.64% /ml/datasets.html
2 3331 3.19% 39996 0.15% /ml//datasets.html
3 1018 0.98% 17585 0.06% /ml/
4 684 0.66% 8 0.00% /
5 175 0.17% 12773 0.05% /ml/datasets/Iris
6 120 0.11% 4902 0.02% /ml/datasets/Adult
7 119 0.11% 4183 0.02% /ml/datasets/Wine
8 115 0.11% 3244 0.01% /ml/datasets/Abalone
9 104 0.10% 2780 0.01% /ml/machine-learning-databases/
10 98 0.09% 146 0.00% /ml/machine-learning-databases/iris/
11 93 0.09% 3749 0.01% /ml/datasets/Mushroom
12 85 0.08% 1689 0.01% /ml/datasets/Car+Evaluation
13 81 0.08% 712 0.00% /ml/datasets/Wine+Quality
14 78 0.07% 3069 0.01% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
15 72 0.07% 666 0.00% /ml/datasets/Poker+Hand
16 72 0.07% 95 0.00% /ml/machine-learning-databases/abalone/
17 70 0.07% 204578 0.74% /ml/databases/20newsgroups/20_newsgroups.tar.gz
18 68 0.07% 114 0.00% /ml/machine-learning-databases/adult/
19 67 0.06% 198354 0.72% /ml/machine-learning-databases/adult/adult.data
20 65 0.06% 147 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
21 62 0.06% 81 0.00% /ml/machine-learning-databases/wine/
22 59 0.06% 77 0.00% /ml/machine-learning-databases/car/
23 58 0.06% 1673 0.01% /ml/datasets/Pima+Indians+Diabetes
24 58 0.06% 753241 2.74% /ml/machine-learning-databases/poker/poker-hand-testing.data
25 56 0.05% 158 0.00% /ml/machine-learning-databases/iris/iris.names
26 55 0.05% 680 0.00% /ml/datasets/Spambase
27 54 0.05% 244 0.00% /ml/machine-learning-databases/adult/adult.names
28 53 0.05% 231 0.00% /ml/machine-learning-databases/iris/iris.data
29 53 0.05% 68 0.00% /ml/machine-learning-databases/wine-quality/
30 52 0.05% 7797 0.03% /ml/machine-learning-databases/abalone/abalone.data
31 48 0.05% 472 0.00% /ml/datasets/Internet+Advertisements
32 47 0.05% 362 0.00% /ml/datasets/URL+Reputation
33 46 0.04% 455 0.00% /ml/datasets/Forest+Fires
34 46 0.04% 62717 0.23% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
35 45 0.04% 362 0.00% /ml/datasets/Breast+Tissue
36 44 0.04% 122 0.00% /ml/machine-learning-databases/wine/wine.names
37 42 0.04% 65 0.00% /ml/machine-learning-databases/mushroom/
38 41 0.04% 336 0.00% /ml/datasets/Spoken+Arabic+Digit
39 40 0.04% 131 0.00% /ml/machine-learning-databases/abalone/abalone.names
40 39 0.04% 930 0.00% /ml/datasets/Census+Income
41 39 0.04% 639 0.00% /ml/datasets/Yeast
42 38 0.04% 12409 0.05% /ml/machine-learning-databases/poker/poker-hand-training-true.data
43 37 0.04% 358 0.00% /ml/machine-learning-databases/wine/wine.data
44 36 0.03% 370 0.00% /ml/datasets/Parkinsons+Telemonitoring
45 36 0.03% 592 0.00% /ml/datasets/US+Census+Data+(1990)
46 35 0.03% 104 0.00% /ml/databases/kddcup99/
47 35 0.03% 696 0.00% /ml/datasets/Letter+Recognition
48 35 0.03% 147 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
49 34 0.03% 284 0.00% /ml/datasets/Cardiotocography
50 34 0.03% 434 0.00% /ml/datasets/SPECT+Heart
51 34 0.03% 1368 0.00% /ml/machine-learning-databases/car/car.data
52 34 0.03% 54 0.00% /ml/machine-learning-databases/pima-indians-diabetes/
53 34 0.03% 2302 0.01% /ml/machine-learning-databases/wine-quality/winequality-red.csv
54 33 0.03% 533 0.00% /ml/datasets/Auto+MPG
55 33 0.03% 1147 0.00% /ml/datasets/Communities+and+Crime
56 32 0.03% 266 0.00% /ml/datasets/Bag+of+Words
57 32 0.03% 362 0.00% /ml/datasets/Flags
58 32 0.03% 1028 0.00% /ml/datasets/Housing
59 32 0.03% 38878 0.14% /ml/machine-learning-databases/adult/adult.test
60 32 0.03% 73 0.00% /ml/machine-learning-databases/car/car.names
61 31 0.03% 580 0.00% /ml/datasets/Zoo
62 30 0.03% 115 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.names
63 29 0.03% 26 0.00% /ml/machine-learning-databases/00192/
64 28 0.03% 401 0.00% /ml/datasets/Balance+Scale
65 28 0.03% 39 0.00% /ml/machine-learning-databases/poker/
66 27 0.03% 8182761 29.80% /ml/databases/census1990/USCensus1990.data.txt
67 27 0.03% 6286 0.02% /ml/databases/tic/ticeval2000.txt
68 27 0.03% 335 0.00% /ml/datasets/Automobile
69 27 0.03% 694 0.00% /ml/datasets/Thyroid+Disease
70 27 0.03% 41 0.00% /ml/machine-learning-databases/auto-mpg/
71 27 0.03% 2727 0.01% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
72 27 0.03% 31 0.00% /ml/machine-learning-databases/yeast/
73 26 0.02% 567 0.00% /ml/datasets/Congressional+Voting+Records
74 26 0.02% 432 0.00% /ml/datasets/Statlog+(German+Credit+Data)
75 26 0.02% 5535 0.02% /ml/machine-learning-databases/bag-of-words/vocab.enron.txt
76 26 0.02% 427 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
77 26 0.02% 40 0.00% /ml/machine-learning-databases/spambase/
78 25 0.02% 267 0.00% /ml/datasets/Haberman's+Survival
79 25 0.02% 194 0.00% /ml/datasets/Opinosis+Opinion+
80 25 0.02% 317 0.00% /ml/datasets/Optical+Recognition+of+Handwritten+Digits
81 25 0.02% 26 0.00% /ml/machine-learning-databases/forest-fires/
82 25 0.02% 11506 0.04% /ml/machine-learning-databases/letter-recognition/letter-recognition.data
83 24 0.02% 214 0.00% /ml/datasets/Blood+Transfusion+Service+Center
84 24 0.02% 1032 0.00% /ml/datasets/Glass+Identification
85 24 0.02% 192 0.00% /ml/datasets/KDD+Cup+1999+Data
86 24 0.02% 202 0.00% /ml/datasets/Semeion+Handwritten+Digit
87 24 0.02% 214 0.00% /ml/datasets/p53+Mutants
88 24 0.02% 28 0.00% /ml/machine-learning-databases/diabetes/
89 23 0.02% 13212 0.05% /ml/databases/census-income/census-income.test.gz
90 23 0.02% 241 0.00% /ml/datasets/Credit+Approval
91 23 0.02% 39 0.00% /ml/machine-learning-databases/credit-screening/
92 23 0.02% 1854 0.01% /ml/machine-learning-databases/letter-recognition/letter-recognition.data.Z
93 23 0.02% 71 0.00% /ml/machine-learning-databases/wine-quality/winequality.names
94 22 0.02% 51706 0.19% /ml/databases/census-income/census.tar.gz
95 22 0.02% 855 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
96 22 0.02% 1169 0.00% /ml/datasets/Heart+Disease
97 22 0.02% 418 0.00% /ml/datasets/MONK's+Problems
98 22 0.02% 397 0.00% /ml/datasets/Nursery
99 22 0.02% 105 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.names
100 22 0.02% 111518 0.41% /ml/machine-learning-databases/covtype/covtype.data.gz

Top 100 of 1540 Total URLs By KBytes
# Hits KBytes URL
1 5 0.00% 8941395 32.56% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
2 27 0.03% 8182761 29.80% /ml/databases/census1990/USCensus1990.data.txt
3 8 0.01% 1914155 6.97% /ml/machine-learning-databases/url/url_svmlight.tar.gz
4 3 0.00% 1808905 6.59% /ml/machine-learning-databases/p53/K8.data
5 1 0.00% 842635 3.07% /ml/databases/census1990/USCensus1990raw.data.txt
6 58 0.06% 753241 2.74% /ml/machine-learning-databases/poker/poker-hand-testing.data
7 1 0.00% 701069 2.55% /ml/databases/eeg/eeg_full.tar
8 3 0.00% 686209 2.50% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
9 4 0.00% 498616 1.82% /ml/databases/volcanoes/volcanoes.tar.gz
10 24663 23.63% 449667 1.64% /ml/datasets.html
11 10 0.01% 276795 1.01% /ml/machine-learning-databases/00195/Train_Arabic_Digit.txt
12 70 0.07% 204578 0.74% /ml/databases/20newsgroups/20_newsgroups.tar.gz
13 67 0.06% 198354 0.72% /ml/machine-learning-databases/adult/adult.data
14 2 0.00% 143455 0.52% /ml/machine-learning-databases/gisette/GISETTE/gisette_test.data
15 14 0.01% 126971 0.46% /ml/machine-learning-databases/00195/Test_Arabic_Digit.txt
16 22 0.02% 111518 0.41% /ml/machine-learning-databases/covtype/covtype.data.gz
17 10 0.01% 100342 0.37% /ml/machine-learning-databases/internet_ads/ad.data
18 5 0.00% 77305 0.28% /ml/databases/kddcup99/kddcup.data.gz
19 2 0.00% 75453 0.27% /ml/machine-learning-databases/ohsumed/Endohsumed.88
20 14 0.01% 71869 0.26% /ml/machine-learning-databases/character-trajectories/mixoutALL_shifted.mat
21 1 0.00% 66446 0.24% /ml/databases/nsfabs/Part1.zip
22 1 0.00% 66200 0.24% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
23 46 0.04% 62717 0.23% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
24 22 0.02% 51706 0.19% /ml/databases/census-income/census.tar.gz
25 3331 3.19% 39996 0.15% /ml//datasets.html
26 32 0.03% 38878 0.14% /ml/machine-learning-databases/adult/adult.test
27 1 0.00% 37905 0.14% /ml/databases/eeg/SMNI_CMI_TEST.tar.gz
28 2 0.00% 37592 0.14% /ml/databases/eeg/SMNI_CMI_TRAIN.tar.gz
29 2 0.00% 37102 0.14% /ml/machine-learning-databases/arcene/ARCENE/arcene_test.data
30 3 0.00% 36076 0.13% /ml/machine-learning-databases/bag-of-words/docword.enron.txt.gz
31 17 0.02% 26131 0.10% /ml/databases/census-income/census-income.data.gz
32 3 0.00% 25944 0.09% /ml/machine-learning-databases/mfeat/mfeat.tar
33 5 0.00% 20464 0.07% /ml/machine-learning-databases/secom/secom.data
34 19 0.02% 19712 0.07% /ml/machine-learning-databases/bag-of-words/vocab.nytimes.txt
35 3 0.00% 19033 0.07% /ml/machine-learning-databases/uji-penchars/version2/ujipenchars2.txt
36 8 0.01% 18298 0.07% /ml/machine-learning-databases/semeion/semeion.data
37 1018 0.98% 17585 0.06% /ml/
38 10 0.01% 17030 0.06% /ml/machine-learning-databases/00193/CTG.xls
39 9 0.01% 16083 0.06% /ml/databases/auslan/allsigns.tar.gz
40 3 0.00% 15837 0.06% /ml/machine-learning-databases/ohsumed/Jan91Docs.txt
41 23 0.02% 13212 0.05% /ml/databases/census-income/census-income.test.gz
42 175 0.17% 12773 0.05% /ml/datasets/Iris
43 38 0.04% 12409 0.05% /ml/machine-learning-databases/poker/poker-hand-training-true.data
44 12 0.01% 11660 0.04% /ml/machine-learning-databases/communities/communities.data
45 3 0.00% 11643 0.04% /ml/machine-learning-databases/census-income/census-income.data
46 14 0.01% 11569 0.04% /ml/machine-learning-databases/parkinsons/telemonitoring/parkinsons_updrs.data
47 25 0.02% 11506 0.04% /ml/machine-learning-databases/letter-recognition/letter-recognition.data
48 1 0.00% 11052 0.04% /ml/machine-learning-databases/gisette/GISETTE/gisette_valid.data
49 7 0.01% 10504 0.04% /ml/machine-learning-databases/plants/plants.data
50 5 0.00% 10473 0.04% /ml/databases/kddcup99/kddcup.data_10_percent.gz
51 12 0.01% 10443 0.04% /ml/databases/20newsgroups/mini_newsgroups.tar.gz
52 15 0.01% 10098 0.04% /ml/machine-learning-databases/spambase/spambase.data
53 10 0.01% 10036 0.04% /ml/machine-learning-databases/nursery/nursery.data
54 3 0.00% 9981 0.04% /ml/databases/reuters21578/reuters21578.tar.gz
55 2 0.00% 8408 0.03% /ml/machine-learning-databases/dorothea/DOROTHEA/dorothea_test.data
56 4 0.00% 8183 0.03% /ml/databases/movies/data/main.html
57 5 0.00% 7956 0.03% /ml/machine-learning-databases/arcene/ARCENE/arcene_train.data
58 1 0.00% 7883 0.03% /ml/machine-learning-databases/isolet/isolet1+2+3+4.data.Z
59 5 0.00% 7835 0.03% /ml/machine-learning-databases/mfeat/mfeat-fac
60 52 0.05% 7797 0.03% /ml/machine-learning-databases/abalone/abalone.data
61 4 0.00% 7133 0.03% /ml/machine-learning-databases/mfeat/mfeat-fou
62 4 0.00% 6637 0.02% /ml/machine-learning-databases/dexter/DEXTER/dexter_test.data
63 27 0.03% 6286 0.02% /ml/databases/tic/ticeval2000.txt
64 8 0.01% 6074 0.02% /ml/machine-learning-databases/ozone/eighthr.data
65 1 0.00% 6052 0.02% /ml/databases/eeg/eeg_full/co2a0000432.tar.gz
66 1 0.00% 5949 0.02% /ml/databases/auslan2/tctodd.tar.bz2
67 3 0.00% 5869 0.02% /ml/machine-learning-databases/census-income/census-income.test
68 3 0.00% 5631 0.02% /ml/machine-learning-databases/mfeat/mfeat-kar
69 26 0.02% 5535 0.02% /ml/machine-learning-databases/bag-of-words/vocab.enron.txt
70 19 0.02% 5342 0.02% /ml/machine-learning-databases/arrhythmia/arrhythmia.data
71 2 0.00% 5319 0.02% /ml/machine-learning-databases/arcene/ARCENE/arcene_valid.data
72 9 0.01% 5293 0.02% /ml/machine-learning-databases/hill-valley/Hill_Valley_without_noise_Training.data
73 16 0.02% 5247 0.02% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
74 4 0.00% 5011 0.02% /ml/machine-learning-databases/demospongiae/demospongiae-503.pl
75 120 0.11% 4902 0.02% /ml/datasets/Adult
76 1 0.00% 4796 0.02% /ml/databases/eeg/eeg_full/co2a0000422.tar.gz
77 6 0.01% 4527 0.02% /ml/machine-learning-databases/thyroid-disease/thyroid0387.data
78 1 0.00% 4452 0.02% /ml/databases/CorelFeatures/CoocTexture.asc.gz
79 7 0.01% 4439 0.02% /ml/machine-learning-databases/ozone/onehr.data
80 1 0.00% 4256 0.02% /ml/databases/movies/data/casts.html
81 1 0.00% 4187 0.02% /ml/machine-learning-databases/dorothea/DOROTHEA/dorothea_train.data
82 119 0.11% 4183 0.02% /ml/datasets/Wine
83 3 0.00% 4179 0.02% /ml/machine-learning-databases/mfeat/mfeat-pix
84 1 0.00% 3908 0.01% /ml/machine-learning-databases/madelon/MADELON/madelon_train.data
85 15 0.01% 3873 0.01% /ml/machine-learning-databases/wine-quality/winequality-white.csv
86 3 0.00% 3820 0.01% /ml/machine-learning-databases/mfeat/mfeat-zer
87 10 0.01% 3755 0.01% /ml/machine-learning-databases/dexter/Dataset.pdf
88 93 0.09% 3749 0.01% /ml/datasets/Mushroom
89 4 0.00% 3744 0.01% /ml/databases/kddcup99/corrected.gz
90 115 0.11% 3244 0.01% /ml/datasets/Abalone
91 4 0.00% 3172 0.01% /ml/databases/movies/data/actors.html
92 78 0.07% 3069 0.01% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
93 104 0.10% 2780 0.01% /ml/machine-learning-databases/
94 2 0.00% 2779 0.01% /ml/machine-learning-databases/anonymous/anonymous-msweb.data
95 27 0.03% 2727 0.01% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
96 1 0.00% 2708 0.01% /ml/databases/el_nino/tao-all2.dat.gz
97 7 0.01% 2648 0.01% /ml/machine-learning-databases/hill-valley/Hill_Valley_with_noise_Training.data
98 6 0.01% 2477 0.01% /ml/machine-learning-databases/optdigits/optdigits.tra
99 2 0.00% 2436 0.01% /ml/machine-learning-databases/demospongiae/demospongiae-cases-503.noos
100 34 0.03% 2302 0.01% /ml/machine-learning-databases/wine-quality/winequality-red.csv

Top 10 of 343 Total Entry Pages
# Hits Visits URL
1 1018 0.98% 377 23.39% /ml/
2 24663 23.63% 290 17.99% /ml/datasets.html
3 684 0.66% 82 5.09% /
4 175 0.17% 51 3.16% /ml/datasets/Iris
5 120 0.11% 23 1.43% /ml/datasets/Adult
6 78 0.07% 16 0.99% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
7 55 0.05% 15 0.93% /ml/datasets/Spambase
8 58 0.06% 14 0.87% /ml/datasets/Pima+Indians+Diabetes
9 26 0.02% 14 0.87% /ml/datasets/Statlog+(German+Credit+Data)
10 104 0.10% 14 0.87% /ml/machine-learning-databases/

Top 10 of 405 Total Exit Pages
# Hits Visits URL
1 1018 0.98% 325 17.47% /ml/
2 24663 23.63% 247 13.28% /ml/datasets.html
3 684 0.66% 84 4.52% /
4 175 0.17% 39 2.10% /ml/datasets/Iris
5 98 0.09% 27 1.45% /ml/machine-learning-databases/iris/
6 78 0.07% 21 1.13% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
7 68 0.07% 19 1.02% /ml/machine-learning-databases/adult/
8 65 0.06% 19 1.02% /ml/machine-learning-databases/breast-cancer-wisconsin/
9 120 0.11% 18 0.97% /ml/datasets/Adult
10 58 0.06% 17 0.91% /ml/datasets/Pima+Indians+Diabetes

Top 100 of 1670 Total Sites
# Hits Files KBytes Visits Hostname
1 9566 9.17% 9557 11.24% 324946 1.18% 8 0.41% 121.8.171.124
2 7767 7.44% 7720 9.08% 93734 0.34% 6 0.31% 66.249.68.225
3 2405 2.30% 2405 2.83% 30304 0.11% 1 0.05% 65.55.3.195
4 2128 2.04% 2123 2.50% 26827 0.10% 14 0.72% 208.115.111.249
5 1266 1.21% 1239 1.46% 6663829 24.27% 1 0.05% 67.195.37.190
6 1260 1.21% 848 1.00% 23297 0.08% 3 0.15% 202.185.108.254
7 1163 1.11% 1162 1.37% 17159 0.06% 1 0.05% 208.68.143.203
8 1158 1.11% 1157 1.36% 13155 0.05% 1 0.05% 208.68.138.5
9 1054 1.01% 659 0.77% 645732 2.35% 6 0.31% 114.172.96.47
10 977 0.94% 123 0.14% 6874 0.03% 2 0.10% 158.42.243.68
11 850 0.81% 210 0.25% 3094 0.01% 1 0.05% 134.208.26.172
12 829 0.79% 322 0.38% 45854 0.17% 1 0.05% 113.14.53.146
13 735 0.70% 481 0.57% 315460 1.15% 3 0.15% 65.46.142.190
14 593 0.57% 261 0.31% 3971918 14.46% 9 0.46% 119.226.217.133
15 585 0.56% 585 0.69% 0 0.00% 2 0.10% ::1
16 584 0.56% 206 0.24% 2514 0.01% 1 0.05% 175.116.9.43
17 568 0.54% 529 0.62% 2674 0.01% 2 0.10% 200.21.45.64
18 547 0.52% 165 0.19% 4613 0.02% 2 0.10% 218.90.160.22
19 499 0.48% 206 0.24% 3873 0.01% 1 0.05% 134.208.26.214
20 479 0.46% 252 0.30% 51018 0.19% 2 0.10% 80.191.168.116
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22 452 0.43% 446 0.52% 2105 0.01% 3 0.15% 88.15.89.39
23 450 0.43% 432 0.51% 1896982 6.91% 8 0.41% 193.0.225.236
24 441 0.42% 441 0.52% 5060 0.02% 4 0.21% 123.125.67.211
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27 426 0.41% 135 0.16% 1393 0.01% 4 0.21% 221.6.35.67
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32 394 0.38% 28 0.03% 1310 0.00% 3 0.15% 114.248.95.66
33 384 0.37% 188 0.22% 3672557 13.37% 8 0.41% 183.83.183.121
34 358 0.34% 156 0.18% 1691 0.01% 2 0.10% 140.122.79.74
35 355 0.34% 354 0.42% 1604 0.01% 1 0.05% 140.118.155.120
36 334 0.32% 238 0.28% 2225 0.01% 1 0.05% 140.122.79.162
37 327 0.31% 169 0.20% 2300 0.01% 3 0.15% 139.78.3.212
38 322 0.31% 311 0.37% 1365 0.00% 2 0.10% 99.184.62.234
39 319 0.31% 310 0.36% 7815 0.03% 1 0.05% 216.87.119.233
40 318 0.30% 142 0.17% 9721 0.04% 2 0.10% 95.69.69.106
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42 304 0.29% 244 0.29% 2064 0.01% 3 0.15% 129.78.32.23
43 296 0.28% 174 0.20% 2147 0.01% 2 0.10% 134.208.45.179
44 293 0.28% 257 0.30% 68607 0.25% 2 0.10% 117.240.242.163
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52 265 0.25% 125 0.15% 853 0.00% 2 0.10% 202.118.250.98
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54 262 0.25% 235 0.28% 1552 0.01% 4 0.21% 76.242.181.183
55 259 0.25% 250 0.29% 5233 0.02% 1 0.05% 193.227.11.116
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78 215 0.21% 207 0.24% 665 0.00% 2 0.10% 68.34.100.54
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85 207 0.20% 107 0.13% 812 0.00% 1 0.05% 98.16.147.36
86 206 0.20% 146 0.17% 927 0.00% 1 0.05% 111.240.213.222
87 202 0.19% 142 0.17% 2526 0.01% 3 0.15% 114.45.225.16
88 202 0.19% 198 0.23% 1240 0.00% 2 0.10% 221.6.35.73
89 200 0.19% 118 0.14% 535 0.00% 1 0.05% 95.82.107.106
90 198 0.19% 190 0.22% 5737 0.02% 1 0.05% 83.24.123.234
91 197 0.19% 85 0.10% 22677 0.08% 1 0.05% 139.78.12.225
92 193 0.18% 103 0.12% 28334 0.10% 1 0.05% 195.60.236.131
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95 191 0.18% 176 0.21% 694 0.00% 4 0.21% 203.135.190.6
96 191 0.18% 151 0.18% 241281 0.88% 3 0.15% 80.191.71.171
97 190 0.18% 185 0.22% 873 0.00% 1 0.05% 77.212.152.10
98 189 0.18% 145 0.17% 1407 0.01% 4 0.21% 112.198.64.59
99 189 0.18% 151 0.18% 3633 0.01% 1 0.05% 113.53.159.225
100 189 0.18% 119 0.14% 1270 0.00% 1 0.05% 58.26.18.29

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# Hits Files KBytes Visits Hostname
1 1266 1.21% 1239 1.46% 6663829 24.27% 1 0.05% 67.195.37.190
2 593 0.57% 261 0.31% 3971918 14.46% 9 0.46% 119.226.217.133
3 384 0.37% 188 0.22% 3672557 13.37% 8 0.41% 183.83.183.121
4 2 0.00% 2 0.00% 3437543 12.52% 0 0.00% 218.186.11.10
5 450 0.43% 432 0.51% 1896982 6.91% 8 0.41% 193.0.225.236
6 27 0.03% 21 0.02% 776637 2.83% 1 0.05% 193.137.201.209
7 1054 1.01% 659 0.77% 645732 2.35% 6 0.31% 114.172.96.47
8 1 0.00% 1 0.00% 602968 2.20% 0 0.00% 200.52.173.89
9 188 0.18% 69 0.08% 359102 1.31% 2 0.10% 174.89.249.232
10 132 0.13% 131 0.15% 353502 1.29% 1 0.05% 59.61.5.8
11 9566 9.17% 9557 11.24% 324946 1.18% 8 0.41% 121.8.171.124
12 735 0.70% 481 0.57% 315460 1.15% 3 0.15% 65.46.142.190
13 105 0.10% 102 0.12% 305578 1.11% 2 0.10% 61.150.43.95
14 98 0.09% 63 0.07% 250967 0.91% 3 0.15% 93.26.50.154
15 149 0.14% 129 0.15% 250921 0.91% 1 0.05% 96.54.171.35
16 185 0.18% 89 0.10% 241800 0.88% 1 0.05% 210.125.31.164
17 191 0.18% 151 0.18% 241281 0.88% 3 0.15% 80.191.71.171
18 182 0.17% 162 0.19% 240058 0.87% 3 0.15% 98.161.7.212
19 21 0.02% 15 0.02% 231240 0.84% 1 0.05% 209.6.72.12
20 155 0.15% 146 0.17% 151223 0.55% 1 0.05% 2.144.56.63
21 254 0.24% 145 0.17% 101483 0.37% 2 0.10% 173.53.94.104
22 7767 7.44% 7720 9.08% 93734 0.34% 6 0.31% 66.249.68.225
23 266 0.25% 228 0.27% 82845 0.30% 4 0.21% 124.124.105.162
24 207 0.20% 198 0.23% 80515 0.29% 3 0.15% 24.159.242.114
25 116 0.11% 115 0.14% 73318 0.27% 1 0.05% 78.169.155.249
26 28 0.03% 28 0.03% 69937 0.25% 1 0.05% 174.54.222.16
27 293 0.28% 257 0.30% 68607 0.25% 2 0.10% 117.240.242.163
28 237 0.23% 235 0.28% 54259 0.20% 3 0.15% 129.2.170.119
29 50 0.05% 48 0.06% 52720 0.19% 2 0.10% 184.39.1.190
30 479 0.46% 252 0.30% 51018 0.19% 2 0.10% 80.191.168.116

Top 10 of 707 Total Referrers
# Hits Referrer
1 48563 46.53% http://archive.ics.uci.edu/ml/datasets.html
2 26122 25.03% - (Direct Request)
3 13323 12.77% http://archive.ics.uci.edu/ml/
4 907 0.87% http://archive.ics.uci.edu/ml/index.html
5 524 0.50% http://archive.ics.uci.edu/ml/datasets/Iris
6 342 0.33% http://archive.ics.uci.edu/ml/datasets/Adult
7 333 0.32% http://archive.ics.uci.edu/ml/machine-learning-databases/iris/
8 309 0.30% http://archive.ics.uci.edu/ml/datasets/Wine
9 279 0.27% http://archive.ics.uci.edu/ml/machine-learning-databases/
10 270 0.26% http://archive.ics.uci.edu/ml/datasets/Abalone

Top 100 of 237 Total Search Strings
# Hits Search String
1 63 9.62% uci dataset
2 45 6.87% uci repository
3 40 6.11% uci
4 38 5.80% uci machine learning repository
5 29 4.43% machine learning repository
6 23 3.51% uci machine learning
7 12 1.83% data mining data sets
8 12 1.83% http://www.ics.uci.edu/~mlearn/mlrepository.html
9 11 1.68% uci ml repository
10 10 1.53% uci datasets
11 8 1.22% uci database
12 7 1.07% business dataset
13 7 1.07% data mining data set
14 7 1.07% uci data
15 6 0.92% uci data repository
16 5 0.76% sign language australia
17 5 0.76% uci repository of machine learning databases
18 4 0.61% data repository uci
19 4 0.61% mpg site:archive.ics.uci.edu/ml
20 4 0.61% tec tac toe site:archive.ics.uci.edu/ml
21 4 0.61% uc irvine machinge
22 4 0.61% uci dataset repository
23 4 0.61% uci wine
24 4 0.61% wisconsin breast cancer site:archive.ics.uci.edu/ml
25 3 0.46% 20 newsgroup site:archive.ics.uci.edu/ml
26 3 0.46% balance site:archive.ics.uci.edu/ml
27 3 0.46% breast wisconsin data set
28 3 0.46% bupa medical research richard s. forsyth
29 3 0.46% census uci
30 3 0.46% data mining datasets
31 3 0.46% handwritten site:archive.ics.uci.edu/ml
32 3 0.46% heart site:archive.ics.uci.edu/ml
33 3 0.46% http://archive.ics.uci.edu/ml/datasets/semeion handwritten digit
34 3 0.46% iris machine learning dataset
35 3 0.46% machine learning data set
36 3 0.46% machine learning uci data
37 3 0.46% pioneer site:archive.ics.uci.edu/ml
38 3 0.46% sonar site:archive.ics.uci.edu/ml
39 3 0.46% statlog heart disease data site:archive.ics.uci.edu/ml
40 3 0.46% uci data mining
41 3 0.46% uci data repository roc curve
42 3 0.46% uci machien learning
43 3 0.46% uci machine learning data set
44 3 0.46% wine classification data set
45 2 0.31% australian sign language
46 2 0.31% boston housing site:archive.ics.uci.edu/ml
47 2 0.31% breast cancer dataset download
48 2 0.31% concrete site:archive.ics.uci.edu/ml
49 2 0.31% data mining sets uci
50 2 0.31% database irvine
51 2 0.31% dermatology site:archive.ics.uci.edu/ml
52 2 0.31% diabetes
53 2 0.31% diabetes site:archive.ics.uci.edu/ml
54 2 0.31% digits site:archive.ics.uci.edu/ml
55 2 0.31% flags site:archive.ics.uci.edu/ml
56 2 0.31% get data from reuters dataset
57 2 0.31% http://archive.ics.uci.edu/ml/
58 2 0.31% http://archive.ics.uci.edu/ml/datasets/letter recognition
59 2 0.31% http://archive.ics.uci.edu/ml/datasets/wine quality
60 2 0.31% http://archive.uci.edu/ml
61 2 0.31% http://www.ics.uci.edu/~mlearn/mlrespository.html
62 2 0.31% image features dataset
63 2 0.31% income dataset
64 2 0.31% iris dataset site:archive.ics.uci.edu/ml
65 2 0.31% letter site:archive.ics.uci.edu/ml
66 2 0.31% machine learning datasets
67 2 0.31% monks
68 2 0.31% nist site:archive.ics.uci.edu/ml
69 2 0.31% repository
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72 2 0.31% space shuttle landing dataset
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74 2 0.31% statlog
75 2 0.31% twenty newsgroups site:archive.ics.uci.edu/ml
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81 2 0.31% uci machine learning insurance data set
82 2 0.31% uci machine repository
83 2 0.31% uci máy học
84 2 0.31% uci spam email
85 2 0.31% ucidata
86 2 0.31% ucl machine learning repository
87 2 0.31% usps dataset uci
88 2 0.31% votes
89 2 0.31% wine site:archive.ics.uci.edu/ml
90 2 0.31% www..ics.uci.edu/ml/machine-learning.html
91 1 0.15% 20newsgroups dataset
92 1 0.15% abalone data mining project
93 1 0.15% arrhythmia.data
94 1 0.15% ault data set
95 1 0.15% australian sign language-
96 1 0.15% auto mpg dataset
97 1 0.15% auto mpg site:archive.ics.uci.edu/ml
98 1 0.15% bagofwords_nips
99 1 0.15% balanca scale data set
100 1 0.15% balance uci

Top 100 of 732 Total User Agents
# Hits User Agent
1 9573 9.17% Mozilla/4.0 (compatible; MSIE 5.0; Windows NT 4.0)
2 7777 7.45% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
3 7422 7.11% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.517.41 Safari/534.7
4 3825 3.67% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
5 3169 3.04% Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.517.41 Safari/534.7
6 3005 2.88% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
7 2763 2.65% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
8 2538 2.43% Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3
9 2472 2.37% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.517.41 Safari/534.7
10 2407 2.31% msnbot/2.0b (+http://search.msn.com/msnbot.htm)._
11 2321 2.22% FAST Enterprise Crawler 6 / Scirus scirus-crawler@fast.no; http://www.scirus.com/srsapp/contactus/
12 2128 2.04% Mozilla/5.0 (compatible; DotBot/1.1; http://www.dotnetdotcom.org/, crawler@dotnetdotcom.org)
13 2107 2.02% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; GTB6.6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET C
14 1611 1.54% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
15 1279 1.23% Mozilla/5.0 (compatible; Yahoo! Slurp/3.0; http://help.yahoo.com/help/us/ysearch/slurp)
16 1183 1.13% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; WOW64; Trident/4.0; GTB6.6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729;
17 1026 0.98% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; GTB6.5; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1) ; .NET CLR
18 990 0.95% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; GTB5; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CL
19 747 0.72% Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_4; en-us) AppleWebKit/533.18.1 (KHTML, like Gecko) Version/5.0.2 Safari/533.18
20 723 0.69% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-GB; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
21 699 0.67% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3
22 601 0.58% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US) AppleWebKit/534.3 (KHTML, like Gecko) Chrome/6.0.472.63 Safari/534.3
23 592 0.57% Mozilla/5.0 (X11; U; Linux i686; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.517.41 Safari/534.7
24 585 0.56% Apache/2.2.3 (CentOS) (internal dummy connection)
25 547 0.52% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; GTB6.5; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152
26 538 0.52% Mozilla/5.0 (Windows; U; Windows NT 6.1; pl; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
27 480 0.46% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)
28 474 0.45% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/4.0; GTB6.6; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729;
29 456 0.44% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; InfoPath.2; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729
30 432 0.41% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; KKMAN3.2; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET
31 429 0.41% Mozilla/5.0 (X11; Linux i686; rv:2.0b8pre) Gecko/20101018 Firefox/4.0b8pre
32 396 0.38% Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_4; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.517.41 Safari/534.7
33 394 0.38% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; CIBA; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729)
34 367 0.35% Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12 ( .NET CLR 3.5.30729; .NET4.0C)
35 366 0.35% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.2.11) Gecko/20101012 Firefox/3.6.11
36 365 0.35% Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.12) Gecko/20101027 Ubuntu/10.04 (lucid) Firefox/3.6.12
37 364 0.35% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 3.0.04506.648; .NET CLR 3.5.2102
38 342 0.33% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.2.10) Gecko/20100914 Firefox/3.6.10
39 334 0.32% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 2.0.50727; .NET CLR 1.1.4322; .NET CLR 3.0.4506.2152
40 334 0.32% Mozilla/5.0 (Windows; U; Windows NT 5.1; es-ES; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
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42 321 0.31% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 3.5.30729; .N
43 319 0.31% Mozilla/5.0 (Windows; U; Windows NT 6.1; tr; rv:1.9.1.15) Gecko/20101026 Firefox/3.5.15 SearchToolbar/1.2
44 314 0.30% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152
45 312 0.30% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; GTB6.6; Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV
46 310 0.30% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)
47 306 0.29% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12 (.NET CLR 3.5.30729)
48 306 0.29% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
49 288 0.28% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; CIBA; .NET CLR 2.0.50727; 360SE)
50 278 0.27% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; InfoPath.2)
51 278 0.27% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Facicons; GTB6.6; SLCC1; .NET CLR 2.0.50727; Media Center PC
52 273 0.26% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; EmbeddedWB 14.52 from: http://www.bsalsa.com/ EmbeddedWB 14.52; .NET
53 272 0.26% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; 360SE)
54 272 0.26% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; QQDownload 663; Embedded Web Browser from: http://bsalsa.com
55 271 0.26% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3
56 261 0.25% Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.3) Gecko/20100423 Ubuntu/10.04 (lucid) Firefox/3.6.3
57 256 0.25% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; InfoPath.2; Tablet PC 2.0; .NET CL
58 254 0.24% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; GTB0.0; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4
59 249 0.24% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; GTB6.6; InfoPath.2; .NET CLR 2.0.50727; .NET CLR 3.0.4506.215
60 246 0.24% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.5.
61 244 0.23% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; InfoPath.1; OfficeLiveConnector.1.3; OfficeLivePatch.0.0; Inf
62 241 0.23% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; QQDownload 1.7; QQPinyin 689; .NET CLR 2.0.50727; CIBA)
63 241 0.23% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/534.3 (KHTML, like Gecko) Chrome/6.0.472.63 Safari/534.3
64 236 0.23% Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US; rv:1.9.2.12) Gecko/20101026 (BT-nasa) Firefox/3.6.12
65 236 0.23% Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12 (.NET CLR 3.5.30729)
66 232 0.22% Mozilla/5.0 (X11; U; Linux x86_64; en-US) AppleWebKit/534.3 (KHTML, like Gecko) Chrome/6.0.472.63 Safari/534.3
67 232 0.22% Opera/9.80 (Windows NT 6.1; U; en) Presto/2.6.30 Version/10.63
68 226 0.22% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; Trident/4.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.3
69 226 0.22% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9) Gecko/2008052906 Firefox/3.0
70 222 0.21% Mozilla/5.0 (Windows; U; Windows NT 5.1; pt-BR; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
71 219 0.21% Mozilla/5.0 (Windows; U; Windows NT 5.1; pl; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
72 218 0.21% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12 GTB7.1
73 212 0.20% Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.2) Gecko/20100115 Firefox/3.6
74 209 0.20% Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.2.12) Gecko/20101027 Ubuntu/10.04 (lucid) Firefox/3.6.12
75 207 0.20% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; GTB0.0; CIBA; .NET CLR 2.0.50727; InfoPath.2; ShopperReports
76 207 0.20% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.1.15) Gecko/20101026 Firefox/3.5.15 ( .NET CLR 3.5.30729)
77 205 0.20% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; GTB6.6; InfoPath.2)
78 203 0.19% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
79 202 0.19% Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9.1.11) Gecko/20100701 Firefox/3.5.11
80 200 0.19% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; InfoPath.2)
81 200 0.19% Mozilla/5.0 (X11; U; Linux x86_64; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.517.41 Safari/534.7
82 199 0.19% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; GTB6.5; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET C
83 192 0.18% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12 ( .NET CLR 3.5.30729; .NET4.0E)
84 191 0.18% Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US) AppleWebKit/534.3 (KHTML, like Gecko) Chrome/6.0.472.53 Safari/534.3
85 190 0.18% Mozilla/5.0 (Windows; U; Windows NT 6.1; pl; rv:1.9.2.12) Gecko/20101026 AskTbCNB/3.8.0.12304 Firefox/3.6.12
86 188 0.18% Mozilla/5.0 (X11; U; Linux x86_64; en-US) AppleWebKit/533.4 (KHTML, like Gecko) Chrome/5.0.375.99 Safari/533.4
87 186 0.18% Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.5; en-US; rv:1.9.2.8) Gecko/20100722 YFF35 Firefox/3.6.8
88 181 0.17% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; SE 2.X; CIBA; InfoPath.2; staticlogin:product=cbpro09&act=login&info=ZmlsZ
89 178 0.17% Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727; .NET CLR 3.0.04506.648; .NET CLR 3.5.21022)
90 178 0.17% Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9.2.8) Gecko/20100722 Firefox/3.6.8
91 176 0.17% Mozilla/4.0 (compatible;)
92 176 0.17% Mozilla/5.0 (Windows; U; Windows NT 5.2; en-US) AppleWebKit/534.7 (KHTML, like Gecko) Chrome/7.0.517.41 Safari/534.7
93 174 0.17% Mozilla/5.0 (Windows; U; Windows NT 6.0; zh-TW; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12 ( .NET CLR 3.5.30729)
94 174 0.17% Mozilla/5.0 (Windows; U; Windows NT 6.1; el; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12
95 172 0.16% Opera/9.80 (Windows NT 6.1; U; pl) Presto/2.6.30 Version/10.63
96 171 0.16% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; GTB6.6; .NET CLR 2.0.50727; InfoPath.2)
97 171 0.16% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.2) Gecko/20100115 Firefox/3.6 ( .NET CLR 3.5.30729)
98 170 0.16% Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0; LupinV2.u3/20100928; GTB6.6; Mozilla/4.0 (compatible; MSIE 6.
99 169 0.16% Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.1.9) Gecko/20100315 Firefox/3.5.9
100 165 0.16% Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.5; fr; rv:1.9.2.12) Gecko/20101026 Firefox/3.6.12

Usage by Country for October 2010

Top 1 of 1 Total Countries
# Hits Files KBytes Country
1 104364 100.00% 85640 100.70% 27460550 100.00% Unresolved/Unknown

Generated by Webalizer Version 2.21