Usage Statistics for archive.ics.uci.edu

Summary Period: April 2015
Generated 01-May-2015 06:14 PDT

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

Monthly Statistics for April 2015
Total Hits 8892923
Total Files 8126636
Total Pages 2299576
Total Visits 238520
Total KBytes 14894805174
Total Unique Sites 142472
Total Unique URLs 9156
Total Unique Referrers 10209
Total Unique Usernames 4
Total Unique User Agents 13087
. Avg Max
Hits per Hour 12351 29088
Hits per Day 296430 417836
Files per Day 270887 394882
Pages per Day 76652 218696
Sites per Day 4749 9088
Visits per Day 7950 13457
KBytes per Day 496493506 1355315876
Hits by Response Code
Code 200 - OK 91.38% 8126636
Code 206 - Partial Content 1.46% 129752
Code 301 - Moved Permanently 0.25% 22565
Code 302 - Found 0.28% 24489
Code 304 - Not Modified 2.50% 222154
Code 400 - Bad Request 0.00% 12
Code 403 - Forbidden 0.00% 216
Code 404 - Not Found 4.09% 364098
Code 405 - Method Not Allowed 0.02% 2156
Code 412 - Precondition Failed 0.00% 1
Code 416 - Requested Range Not Satisfiable 0.01% 837
Code 500 - Internal Server Error 0.00% 7

Daily usage for April 2015

Daily Statistics for April 2015
Day Hits Files Pages Visits Sites KBytes
1 294979 3.32% 267097 3.29% 74091 3.22% 7690 3.22% 7668 5.38% 156886472 1.05%
2 277218 3.12% 256395 3.15% 77742 3.38% 7348 3.08% 7383 5.18% 288295647 1.94%
3 206017 2.32% 188015 2.31% 61372 2.67% 5617 2.35% 5826 4.09% 724267091 4.86%
4 210025 2.36% 187995 2.31% 56171 2.44% 5375 2.25% 5576 3.91% 338545554 2.27%
5 259681 2.92% 241304 2.97% 79527 3.46% 6533 2.74% 6677 4.69% 939379951 6.31%
6 327052 3.68% 299671 3.69% 87056 3.79% 7729 3.24% 7968 5.59% 278644190 1.87%
7 363431 4.09% 334707 4.12% 97310 4.23% 8555 3.59% 8506 5.97% 939462964 6.31%
8 329906 3.71% 301709 3.71% 75544 3.29% 8494 3.56% 8561 6.01% 316001529 2.12%
9 332509 3.74% 304013 3.74% 81699 3.55% 8681 3.64% 8938 6.27% 1355315876 9.10%
10 252009 2.83% 231794 2.85% 58846 2.56% 6914 2.90% 7207 5.06% 218486769 1.47%
11 212723 2.39% 193573 2.38% 46272 2.01% 5915 2.48% 5951 4.18% 240246407 1.61%
12 242869 2.73% 221522 2.73% 40569 1.76% 7468 3.13% 7565 5.31% 212265065 1.43%
13 332347 3.74% 288534 3.55% 52647 2.29% 9134 3.83% 9088 6.38% 615131522 4.13%
14 314423 3.54% 281094 3.46% 51099 2.22% 8680 3.64% 8842 6.21% 788728582 5.30%
15 307063 3.45% 273183 3.36% 46576 2.03% 8784 3.68% 8900 6.25% 413225795 2.77%
16 283454 3.19% 254673 3.13% 47925 2.08% 8239 3.45% 8353 5.86% 234420549 1.57%
17 229179 2.58% 209885 2.58% 47597 2.07% 6813 2.86% 7080 4.97% 231485279 1.55%
18 183521 2.06% 167554 2.06% 34965 1.52% 6140 2.57% 6327 4.44% 581275669 3.90%
19 344087 3.87% 317874 3.91% 138054 6.00% 7757 3.25% 7570 5.31% 567230794 3.81%
20 343515 3.86% 314801 3.87% 80913 3.52% 9057 3.80% 8937 6.27% 1223254350 8.21%
21 370932 4.17% 339766 4.18% 113101 4.92% 9004 3.77% 9088 6.38% 329916090 2.21%
22 349398 3.93% 320563 3.94% 99628 4.33% 8749 3.67% 8816 6.19% 286579540 1.92%
23 318457 3.58% 292210 3.60% 93449 4.06% 9166 3.84% 8550 6.00% 412597814 2.77%
24 417836 4.70% 394882 4.86% 218696 9.51% 13457 5.64% 7354 5.16% 192855306 1.29%
25 246522 2.77% 226014 2.78% 83294 3.62% 7046 2.95% 6299 4.42% 191737729 1.29%
26 287025 3.23% 260957 3.21% 79208 3.44% 7975 3.34% 7770 5.45% 1183502252 7.95%
27 341527 3.84% 311562 3.83% 66197 2.88% 8838 3.71% 8766 6.15% 530571234 3.56%
28 328137 3.69% 302465 3.72% 62342 2.71% 8870 3.72% 8760 6.15% 215217582 1.44%
29 317377 3.57% 292481 3.60% 78602 3.42% 8780 3.68% 8165 5.73% 745097606 5.00%
30 269704 3.03% 250343 3.08% 69084 3.00% 7053 2.96% 7101 4.98% 144179967 0.97%

Hourly usage for April 2015

Hourly Statistics for April 2015
Hour Hits Files Pages KBytes
Avg Total Avg Total Avg Total Avg Total
0 15140 454209 5.11% 13617 408521 5.03% 3824 114730 4.99% 21078430 632352911 4.25%
1 15114 453444 5.10% 13542 406283 5.00% 3688 110655 4.81% 28001676 840050288 5.64%
2 13324 399737 4.50% 12051 361555 4.45% 3171 95157 4.14% 30811884 924356529 6.21%
3 11729 351896 3.96% 10570 317112 3.90% 2828 84846 3.69% 18741278 562238348 3.77%
4 12470 374109 4.21% 11223 336709 4.14% 3204 96121 4.18% 32549415 976482440 6.56%
5 13211 396335 4.46% 11872 356162 4.38% 3068 92048 4.00% 29374960 881248810 5.92%
6 14342 430269 4.84% 12899 386995 4.76% 3198 95946 4.17% 42617928 1278537829 8.58%
7 14193 425792 4.79% 12946 388396 4.78% 3065 91974 4.00% 30647598 919427949 6.17%
8 14065 421960 4.74% 12836 385099 4.74% 3142 94289 4.10% 31710854 951325635 6.39%
9 13559 406795 4.57% 12552 376582 4.63% 3299 98992 4.30% 15945566 478366971 3.21%
10 13454 403647 4.54% 12531 375958 4.63% 3324 99731 4.34% 10672155 320164643 2.15%
11 12795 383870 4.32% 11929 357893 4.40% 3166 94989 4.13% 8716731 261501924 1.76%
12 12508 375244 4.22% 11662 349867 4.31% 3170 95100 4.14% 9514424 285432719 1.92%
13 11504 345121 3.88% 10788 323663 3.98% 3091 92755 4.03% 8788000 263640014 1.77%
14 10381 311430 3.50% 9706 291186 3.58% 3006 90185 3.92% 5589905 167697149 1.13%
15 9198 275957 3.10% 8595 257855 3.17% 2713 81391 3.54% 7756590 232697692 1.56%
16 8623 258716 2.91% 8063 241891 2.98% 2677 80316 3.49% 4941144 148234327 1.00%
17 9937 298114 3.35% 9181 275457 3.39% 3122 93686 4.07% 7887236 236617089 1.59%
18 11256 337688 3.80% 10210 306301 3.77% 3153 94593 4.11% 14943566 448306971 3.01%
19 12666 380003 4.27% 11516 345505 4.25% 3443 103305 4.49% 13626904 408807121 2.74%
20 11043 331307 3.73% 10048 301455 3.71% 3315 99461 4.33% 51992310 1559769303 10.47%
21 10613 318412 3.58% 9685 290551 3.58% 3211 96343 4.19% 13038890 391166700 2.63%
22 11684 350538 3.94% 10626 318794 3.92% 3362 100871 4.39% 15564639 466939168 3.13%
23 13611 408330 4.59% 12228 366846 4.51% 3403 102092 4.44% 41981421 1259442645 8.46%

Top 100 of 9156 Total URLs
# Hits KBytes URL
1 1038557 11.68% 41777934 0.28% /ml/datasets.html
2 105150 1.18% 1307619 0.01% /ml//datasets.html
3 98396 1.11% 1797869 0.01% /ml/
4 56449 0.63% 620394 0.00% /cs277/old.php
5 21008 0.24% 1600 0.00% /
6 18419 0.21% 1328854 0.01% /ml/datasets/Iris
7 16408 0.18% 971115 0.01% /ml/machine-learning-databases/
8 16310 0.18% 71060 0.00% /ml/machine-learning-databases/iris/iris.data
9 13749 0.15% 55157 0.00% /ml/datasets/undefined
10 13217 0.15% 531206 0.00% /ml/datasets/Adult
11 12247 0.14% 139415 0.00% /ml/machine-learning-databases/00298/jsbach_chorals_harmony.zip
12 11383 0.13% 17699 0.00% /ml/machine-learning-databases/iris/
13 11368 0.13% 36518472 0.25% /ml/machine-learning-databases/adult/adult.data
14 10990 0.12% 113258 0.00% /ml/datasets/Human+Activity+Recognition+Using+Smartphones
15 10199 0.11% 80590 0.00% /ml/datasets/Skin+Segmentation
16 9678 0.11% 337275 0.00% /ml/datasets/Wine
17 9576 0.11% 106622 0.00% /ml/datasets/Student+Performance
18 9458 0.11% 186651 0.00% /ml/datasets/Car+Evaluation
19 8565 0.10% 831644780 5.58% /ml/machine-learning-databases/00322/data.zip
20 8525 0.10% 449735 0.00% /ml/datasets/Heart+Disease
21 8493 0.10% 14902 0.00% /ml/machine-learning-databases/adult/
22 8010 0.09% 69336 0.00% /ml/datasets/Wine+Quality
23 8002 0.09% 19444 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/
24 7677 0.09% 304226600 2.04% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
25 7416 0.08% 288447 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
26 7213 0.08% 78331 0.00% /ml/datasets/Bank+Marketing
27 6459 0.07% 181090 0.00% /ml/datasets/Abalone
28 6078 0.07% 61388 0.00% /ml/machine-learning-databases/wine/wine.data
29 5806 0.07% 7873 0.00% /ml/machine-learning-databases/car/
30 5718 0.06% 7706 0.00% /ml/machine-learning-databases/wine/
31 5402 0.06% 43211168 0.29% /ml/machine-learning-databases/00206/slice_localization_data.zip
32 5401 0.06% 48494 0.00% /ml/machine-learning-databases/00236/seeds_dataset.txt
33 5398 0.06% 1914550 0.01% /ml/machine-learning-databases/mushroom/agaricus-lepiota.data
34 5115 0.06% 4380403365 29.41% /ml/machine-learning-databases/00269/dir_data.tar
35 5077 0.06% 21719 0.00% /ml/machine-learning-databases/heart-disease/
36 5068 0.06% 46047 0.00% /ml/datasets/Poker+Hand
37 5064 0.06% 128716304 0.86% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
38 4871 0.05% 13946 0.00% /ml/machine-learning-databases/iris/iris.names
39 4837 0.05% 1859912843 12.49% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
40 4734 0.05% 681336387 4.57% /ml/machine-learning-databases/00318/NoisyOffice.zip
41 4557 0.05% 145226 0.00% /ml/datasets/Housing
42 4465 0.05% 6103 0.00% /ml/machine-learning-databases/wine-quality/
43 4424 0.05% 43486 0.00% /ml/datasets/Forest+Fires
44 4356 0.05% 106084 0.00% /ml/machine-learning-databases/forest-fires/forestfires.csv
45 4348 0.05% 42437 0.00% /ml/datasets/Internet+Advertisements
46 4262 0.05% 2364283311 15.87% /ml/machine-learning-databases/00280/HIGGS.csv.gz
47 4233 0.05% 69108 0.00% /ml/datasets/Statlog+(German+Credit+Data)
48 4109 0.05% 158266 0.00% /ml/datasets/Breast+Cancer+Wisconsin+(Original)
49 3969 0.04% 3912 0.00% /ml/machine-learning-databases/00320/
50 3836 0.04% 290917510 1.95% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
51 3819 0.04% 152957 0.00% /ml/datasets/Mushroom
52 3814 0.04% 184811 0.00% /ml/machine-learning-databases/car/car.data
53 3744 0.04% 928781009 6.24% /ml/machine-learning-databases/00251/WTD_upload.zip
54 3728 0.04% 3545 0.00% /ml/machine-learning-databases/00192/
55 3717 0.04% 102836 0.00% /ml/machine-learning-databases/auto-mpg/auto-mpg.data
56 3706 0.04% 18461 0.00% /ml/machine-learning-databases/adult/adult.names
57 3673 0.04% 1799206 0.01% /ml/machine-learning-databases/00222/bank.zip
58 3620 0.04% 57565 0.00% /ml/datasets/Auto+MPG
59 3567 0.04% 4888 0.00% /ml/machine-learning-databases/abalone/
60 3534 0.04% 66489 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/breast-cancer-wisconsin.data
61 3515 0.04% 29374 0.00% /ml/datasets/Individual+household+electric+power+consumption
62 3515 0.04% 632876 0.00% /ml/machine-learning-databases/abalone/abalone.data
63 3508 0.04% 33828 0.00% /ml/datasets/Dow+Jones+Index
64 3482 0.04% 42942 0.00% /ml/datasets/Spambase
65 3471 0.04% 77681 0.00% /ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data
66 3435 0.04% 264209 0.00% /ml/machine-learning-databases/wine-quality/winequality-red.csv
67 3420 0.04% 99306 0.00% /ml/datasets/Pima+Indians+Diabetes
68 3335 0.04% 229926 0.00% /ml/datasets/Breast+Cancer
69 3323 0.04% 65858 0.00% /ml/datasets/Letter+Recognition
70 3307 0.04% 3954 0.00% /ml/machine-learning-databases/00222/
71 3225 0.04% 137351 0.00% /ml/datasets/Diabetes
72 3167 0.04% 38958 0.00% /ml/datasets/Automobile
73 3164 0.04% 32630 0.00% /ml/datasets/Bike+Sharing+Dataset
74 3160 0.04% 37865 0.00% /ml/datasets/Gas+sensor+array+under+dynamic+gas+mixtures
75 3146 0.04% 75592210 0.51% /ml/machine-learning-databases/00288/leaf.zip
76 3114 0.04% 32145 0.00% /ml/datasets/Credit+Approval
77 3097 0.03% 28085 0.00% /ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008
78 3086 0.03% 26194 0.00% /ml/datasets/Wholesale+customers
79 3045 0.03% 39274 0.00% /ml/datasets/MHEALTH+Dataset
80 3023 0.03% 8761 0.00% /ml/machine-learning-databases/wine/wine.names
81 2982 0.03% 31832 0.00% /ml/datasets/NoisyOffice
82 2972 0.03% 3634 0.00% /ml/machine-learning-databases/00240/
83 2958 0.03% 4436990 0.03% /ml/machine-learning-databases/adult/adult.test
84 2943 0.03% 38381984 0.26% /ml/machine-learning-databases/poker/poker-hand-testing.data
85 2906 0.03% 12713 0.00% /ml/machine-learning-databases/iris/bezdekIris.data
86 2881 0.03% 135592 0.00% /ml/machine-learning-databases/housing/housing.data
87 2832 0.03% 54670 0.00% /ml/machine-learning-databases/00320/student.zip
88 2825 0.03% 327198 0.00% /ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
89 2822 0.03% 118627 0.00% /ml/datasets/Glass+Identification
90 2806 0.03% 66455 0.00% /ml/datasets/Census+Income
91 2773 0.03% 26653830 0.18% /ml/machine-learning-databases/00235/household_power_consumption.zip
92 2722 0.03% 3696852 0.02% /ml/machine-learning-databases/bag-of-words/vocab.pubmed.txt
93 2644 0.03% 7772 0.00% /ml/machine-learning-databases/car/car.names
94 2616 0.03% 3957 0.00% /ml/machine-learning-databases/statlog/german/
95 2612 0.03% 29354 0.00% /ml/datasets/Flags
96 2597 0.03% 4090 0.00% /ml/machine-learning-databases/auto-mpg/
97 2584 0.03% 22021 0.00% /ml/datasets/Energy+efficiency
98 2571 0.03% 21739 0.00% /ml/datasets/seeds
99 2538 0.03% 20772 0.00% /ml/datasets/Bag+of+Words
100 2492 0.03% 589238 0.00% /ml/machine-learning-databases/wine-quality/winequality-white.csv

Top 100 of 9156 Total URLs By KBytes
# Hits KBytes URL
1 5115 0.06% 4380403365 29.41% /ml/machine-learning-databases/00269/dir_data.tar
2 4262 0.05% 2364283311 15.87% /ml/machine-learning-databases/00280/HIGGS.csv.gz
3 4837 0.05% 1859912843 12.49% /ml/machine-learning-databases/00305/realistic_sensor_displacement.zip
4 3744 0.04% 928781009 6.24% /ml/machine-learning-databases/00251/WTD_upload.zip
5 8565 0.10% 831644780 5.58% /ml/machine-learning-databases/00322/data.zip
6 1739 0.02% 686060737 4.61% /ml/machine-learning-databases/bag-of-words/docword.pubmed.txt.gz
7 4734 0.05% 681336387 4.57% /ml/machine-learning-databases/00318/NoisyOffice.zip
8 1394 0.02% 330603082 2.22% /ml/machine-learning-databases/00279/SUSY.csv.gz
9 7677 0.09% 304226600 2.04% /ml/machine-learning-databases/00319/MHEALTHDATASET.zip
10 3836 0.04% 290917510 1.95% /ml/machine-learning-databases/00321/LD2011_2014.txt.zip
11 1301 0.01% 188220025 1.26% /ml/machine-learning-databases/00231/PAMAP2_Dataset.zip
12 232 0.00% 169137105 1.14% /ml/machine-learning-databases/census1990-mld/USCensus1990raw.data.txt
13 664 0.01% 152292085 1.02% /ml/machine-learning-databases/census1990-mld/USCensus1990.data.txt
14 2373 0.03% 146185464 0.98% /ml/machine-learning-databases/00256/data.zip
15 5064 0.06% 128716304 0.86% /ml/machine-learning-databases/00240/UCI HAR Dataset.zip
16 1667 0.02% 125965202 0.85% /ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip
17 464 0.01% 108144387 0.73% /ml/machine-learning-databases/eeg-mld/eeg_full.tar
18 1103 0.01% 97326017 0.65% /ml/machine-learning-databases/bag-of-words/docword.nytimes.txt.gz
19 3146 0.04% 75592210 0.51% /ml/machine-learning-databases/00288/leaf.zip
20 1097 0.01% 55745123 0.37% /ml/machine-learning-databases/00259/rcv1rcv2aminigoutte.tar.bz2
21 488 0.01% 48949860 0.33% /ml/machine-learning-databases/p53/p53_new_2012.zip
22 166 0.00% 48262262 0.32% /ml/machine-learning-databases/00306/dataset_segmentation.rar
23 570 0.01% 47617606 0.32% /ml/machine-learning-databases/00226/OpportunityUCIDataset.zip
24 401 0.00% 44159443 0.30% /ml/machine-learning-databases/url/url_svmlight.tar.gz
25 5402 0.06% 43211168 0.29% /ml/machine-learning-databases/00206/slice_localization_data.zip
26 1038557 11.68% 41777934 0.28% /ml/datasets.html
27 2943 0.03% 38381984 0.26% /ml/machine-learning-databases/poker/poker-hand-testing.data
28 11368 0.13% 36518472 0.25% /ml/machine-learning-databases/adult/adult.data
29 919 0.01% 30517328 0.20% /ml/machine-learning-databases/00210/donation.zip
30 1089 0.01% 28260483 0.19% /ml/machine-learning-databases/00205/OpinRankDataset.zip
31 2773 0.03% 26653830 0.18% /ml/machine-learning-databases/00235/household_power_consumption.zip
32 306 0.00% 24788663 0.17% /ml/databases/census1990/USCensus1990.data.txt
33 1472 0.02% 23962144 0.16% /ml/machine-learning-databases/00248/regression.tar.gz
34 434 0.00% 22604260 0.15% /ml/machine-learning-databases/00199/MiniBooNE_PID.txt
35 1366 0.02% 22558252 0.15% /ml/machine-learning-databases/00268/Data.zip
36 794 0.01% 19185194 0.13% /ml/machine-learning-databases/00239/corpus.zip
37 1404 0.02% 14843957 0.10% /ml/machine-learning-databases/00246/3D_spatial_network.txt
38 517 0.01% 13665728 0.09% /ml/machine-learning-databases/00326/TV_News_Channel_Commercial_Detection_Dataset.zip
39 1562 0.02% 12752139 0.09% /ml/machine-learning-databases/00317/grammatical_facial_expression.zip
40 198 0.00% 10686028 0.07% /ml/machine-learning-databases/p53/p53_old_2010.zip
41 417 0.00% 10634158 0.07% /ml/machine-learning-databases/00204/PEMS-SF.zip
42 1165 0.01% 9801621 0.07% /ml/machine-learning-databases/00241/100 leaves plant species.zip
43 1175 0.01% 9445655 0.06% /ml/machine-learning-databases/internet_ads/ad.data
44 410 0.00% 9278127 0.06% /ml/machine-learning-databases/gisette/GISETTE/gisette_train.data
45 461 0.01% 9269035 0.06% /ml/machine-learning-databases/00195/Train_Arabic_Digit.txt
46 441 0.00% 9143076 0.06% /ml/machine-learning-databases/gisette/GISETTE/gisette_test.data
47 396 0.00% 8501156 0.06% /ml/machine-learning-databases/00328/ghg_data.zip
48 1423 0.02% 8416827 0.06% /ml/machine-learning-databases/covtype/covtype.data.gz
49 878 0.01% 8279507 0.06% /ml/machine-learning-databases/00313/sEMG_Basic_Hand_movements_upatras.zip
50 1195 0.01% 7861428 0.05% /ml/machine-learning-databases/00213/EMG Physical Action Data Set.rar
51 550 0.01% 7459663 0.05% /ml/machine-learning-databases/00196/ConfLongDemo_JSI.txt
52 1582 0.02% 7377086 0.05% /ml/machine-learning-databases/00216/amzn-anon-access-samples.tgz
53 219 0.00% 7096462 0.05% /ml/machine-learning-databases/volcanoes-mld/volcanoes.tar.gz
54 728 0.01% 7069296 0.05% /ml/machine-learning-databases/00301/Parkinson_Multiple_Sound_Recording_Data.rar
55 1482 0.02% 6928573 0.05% /ml/machine-learning-databases/00309/dataset_two_gas_sources_.zip
56 247 0.00% 6494566 0.04% /ml/databases/eeg/eeg_full.tar
57 345 0.00% 6212036 0.04% /ml/machine-learning-databases/eeg-mld/SMNI_CMI_TRAIN.tar.gz
58 296 0.00% 5687466 0.04% /ml/machine-learning-databases/eeg-mld/SMNI_CMI_TEST.tar.gz
59 358 0.00% 5489107 0.04% /ml/machine-learning-databases/nsfabs-mld/Part1.zip
60 211 0.00% 5163266 0.03% /ml/machine-learning-databases/00258/MultiLingualReuters.tar.bz2
61 630 0.01% 4978798 0.03% /ml/machine-learning-databases/00245/dataset_fog_release.zip
62 707 0.01% 4544911 0.03% /ml/machine-learning-databases/00260/nysk.xml.zip
63 1730 0.02% 4488274 0.03% /ml/machine-learning-databases/00323/microblogPCU.zip
64 1377 0.02% 4454741 0.03% /ml/machine-learning-databases/00287/Activity Recognition from Single Chest-Mounted Accelerometer.zip
65 2958 0.03% 4436990 0.03% /ml/machine-learning-databases/adult/adult.test
66 250 0.00% 4433071 0.03% /ml/machine-learning-databases/00209/Schierz_Bioassay.zip
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Top 10 of 2077 Total Exit Pages
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79 29 0.16% wine quality site:archive.ics.uci.edu/ml
80 28 0.16% emg
81 28 0.16% engines site:archive.ics.uci.edu/ml
82 28 0.16% lung cancer site:archive.ics.uci.edu/ml
83 28 0.16% missing data site:archive.ics.uci.edu/ml
84 28 0.16% music
85 28 0.16% nursery site:archive.ics.uci.edu/ml
86 28 0.16% weather site:archive.ics.uci.edu/ml
87 27 0.15% blood site:archive.ics.uci.edu/ml
88 27 0.15% german credit site:archive.ics.uci.edu/ml
89 27 0.15% housing site:archive.ics.uci.edu/ml
90 27 0.15% https://archive.ics.uci.edu/ml/datasets/wine quality
91 27 0.15% uci dataset
92 27 0.15% wholesale site:archive.ics.uci.edu/ml
93 26 0.14% housing
94 26 0.14% http://archive.ics.uci.edu/ml/datasets/haberman%27s survival
95 26 0.14% http://www.ics.uci.edu/~mlearn
96 26 0.14% ionosphere
97 26 0.14% lenses site:archive.ics.uci.edu/ml
98 26 0.14% pima
99 25 0.14% association rule site:archive.ics.uci.edu/ml
100 25 0.14% automobile site:archive.ics.uci.edu/ml

Top 4 of 4 Total Usernames
# Hits Files KBytes Visits Username
1 79 0.00% 79 0.00% 1466 0.00% 70 0.03% ads
2 3 0.00% 3 0.00% 33 0.00% 3 0.00% swi
3 3 0.00% 3 0.00% 37 0.00% 2 0.00% vinicius.pinho
4 2 0.00% 2 0.00% 19 0.00% 1 0.00% ilavrenov

Top 100 of 13087 Total User Agents
# Hits User Agent
1 509588 5.73% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
2 505710 5.69% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
3 361933 4.07% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
4 358951 4.04% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
5 355918 4.00% Mozilla/5.0 (compatible; AhrefsBot/5.0; +http://ahrefs.com/robot/)
6 335556 3.77% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:37.0) Gecko/20100101 Firefox/37.0
7 220456 2.48% Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
8 167087 1.88% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
9 156474 1.76% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:37.0) Gecko/20100101 Firefox/37.0
10 153696 1.73% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
11 138099 1.55% UCI Inf141-CS121 crawler 54635518 40865803 34673522
12 137927 1.55% Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko
13 135746 1.53% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
14 102289 1.15% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:36.0) Gecko/20100101 Firefox/36.0
15 100938 1.14% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:37.0) Gecko/20100101 Firefox/37.0
16 99844 1.12% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
17 98209 1.10% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
18 91706 1.03% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_3) AppleWebKit/600.5.17 (KHTML, like Gecko) Version/8.0.5 Safari/600.5.17
19 89964 1.01% Mozilla/5.0 (Windows NT 6.1; rv:37.0) Gecko/20100101 Firefox/37.0
20 86301 0.97% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/600.4.10 (KHTML, like Gecko) Version/8.0.4 Safari/600.4.10
21 84728 0.95% Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
22 80226 0.90% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
23 75069 0.84% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
24 65470 0.74% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
25 59099 0.66% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko
26 54768 0.62% Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko
27 51334 0.58% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
28 51283 0.58% Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
29 46080 0.52% Mozilla/5.0 (iPhone; CPU iPhone OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0 Mobile/10A5376e Safa
30 45798 0.51% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
31 45390 0.51% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
32 44759 0.50% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
33 44303 0.50% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:36.0) Gecko/20100101 Firefox/36.0
34 43354 0.49% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
35 41774 0.47% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
36 41422 0.47% Mozilla/5.0 (Windows NT 6.3; WOW64; rv:36.0) Gecko/20100101 Firefox/36.0
37 40430 0.45% UCI Inf141-CS121 crawler 53042590 68419390 25372224
38 38963 0.44% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
39 38216 0.43% Mozilla/5.0 (compatible; Applebot/0.3; +http://www.apple.com/go/applebot)
40 37029 0.42% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:37.0) Gecko/20100101 Firefox/37.0
41 35912 0.40% CCBot/2.0 (http://commoncrawl.org/faq/)
42 35257 0.40% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
43 34117 0.38% UCI Inf141-CS121 crawler 30696236 76276408 74393336
44 33719 0.38% SiteSucker for OS X/2.6.5
45 32963 0.37% UCI Inf141-CS121 crawler 80529276 91605284
46 31162 0.35% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/600.3.18 (KHTML, like Gecko) Version/8.0.3 Safari/600.3.18
47 30765 0.35% 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
48 30379 0.34% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
49 30298 0.34% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:31.0) Gecko/20100101 Firefox/31.0
50 29702 0.33% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.104 Safari/537.36
51 29572 0.33% Mozilla/5.0 (Windows NT 6.1; rv:36.0) Gecko/20100101 Firefox/36.0
52 28704 0.32% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.89 Safari/537.36
53 28620 0.32% Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)
54 28381 0.32% Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)
55 28380 0.32% Mozilla/5.0 (Windows NT 5.1; rv:37.0) Gecko/20100101 Firefox/37.0
56 26960 0.30% 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
57 26656 0.30% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
58 26303 0.30% Mozilla/4.5 (compatible; HTTrack 3.0x; Windows 98)
59 26180 0.29% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
60 25638 0.29% Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)
61 22509 0.25% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36
62 21951 0.25% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.104 Safari/537.36
63 21738 0.24% Mozilla/5.0 (Windows NT 6.2; WOW64; rv:37.0) Gecko/20100101 Firefox/37.0
64 21416 0.24% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.74 YaBrowser/15.4.2272.2334 (cust
65 20983 0.24% Mozilla/5.0 (compatible; BLEXBot/1.0; +http://webmeup-crawler.com/)
66 20832 0.23% Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; Touch; rv:11.0) like Gecko
67 20037 0.23% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.99 Safari/537.36 LBBROWSER
68 19974 0.22% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/41.0.2272.76 Chrome/41.0.2272.76 Safar
69 19783 0.22% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36 SE 2.X MetaSr 1
70 19230 0.22% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
71 18778 0.21% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36
72 18563 0.21% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/600.5.17 (KHTML, like Gecko) Version/7.1.5 Safari/537.85.14
73 18287 0.21% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.115 Safari/537.36
74 18136 0.20% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:35.0) Gecko/20100101 Firefox/35.0
75 17932 0.20% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:37.0) Gecko/20100101 Firefox/37.0
76 17331 0.19% Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
77 17166 0.19% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
78 16858 0.19% Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:36.0) Gecko/20100101 Firefox/36.0
79 16666 0.19% Wget/1.15 (linux-gnu)
80 16595 0.19% Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/7.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CL
81 16458 0.19% Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
82 16422 0.18% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/40.0.2214.111 Safari/537.36
83 16284 0.18% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/600.4.10 (KHTML, like Gecko) Version/7.1.4 Safari/537.85.13
84 16164 0.18% Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.101 Safari/537.36
85 16008 0.18% crawler4j (http://code.google.com/p/crawler4j/)
86 15927 0.18% Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36
87 14995 0.17% Mozilla/5.0 (Windows; U; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 2.0.50727)
88 14939 0.17% Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:35.0) Gecko/20100101 Firefox/35.0
89 14020 0.16% Mozilla/5.0 (Windows NT 6.3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.118 Safari/537.36
90 13901 0.16% Mozilla/5.0 (X11; Linux x86_64; rv:37.0) Gecko/20100101 Firefox/37.0
91 13776 0.15% Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36
92 13645 0.15% Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
93 13328 0.15% Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36
94 13096 0.15% Mozilla/5.0 (Windows NT 5.1; rv:36.0) Gecko/20100101 Firefox/36.0
95 13075 0.15% Mozilla/5.0 (iPhone; CPU iPhone OS 8_3 like Mac OS X) AppleWebKit/600.1.4 (KHTML, like Gecko) Version/8.0 Mobile/12F70 Safari
96 12678 0.14% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36
97 12673 0.14% Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:37.0) Gecko/20100101 Firefox/37.0
98 12644 0.14% UCI Inf141-CS121 crawler 49399981
99 12541 0.14% Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36 SE 2.X MetaSr 1.0
100 12428 0.14% Mozilla/5.0 (Windows NT 6.1; WOW64; rv:34.0) Gecko/20100101 Firefox/34.0

Usage by Country for April 2015

Top 30 of 65 Total Countries
# Hits Files KBytes Country
1 8346542 93.86% 7726768 95.08% 14737178188 98.94% Unresolved/Unknown
2 378120 4.25% 369994 4.55% 46350613 0.31% Commercial (com)
3 51722 0.58% 50910 0.63% 10363406 0.07% Educational (edu)
4 20974 0.24% 19538 0.24% 11648495 0.08% Network (net)
5 7830 0.09% 7471 0.09% 691100 0.00% Poland
6 7328 0.08% 7227 0.09% 14249319 0.10% Italy
7 7265 0.08% 6973 0.09% 20431866 0.14% India
8 7101 0.08% 6433 0.08% 7558877 0.05% France
9 6146 0.07% 5735 0.07% 2394525 0.02% Germany
10 5747 0.06% 5388 0.07% 379857 0.00% Romania
11 5323 0.06% 4838 0.06% 4276262 0.03% Hong Kong
12 5041 0.06% 4770 0.06% 7382820 0.05% Indonesia
13 4347 0.05% 3787 0.05% 1711009 0.01% China
14 3420 0.04% 3289 0.04% 19085150 0.13% Pakistan
15 3285 0.04% 2772 0.03% 627421 0.00% Singapore
16 2776 0.03% 2607 0.03% 577131 0.00% Malaysia
17 2476 0.03% 2319 0.03% 45144 0.00% Brazil
18 2247 0.03% 2101 0.03% 552544 0.00% Japan
19 2183 0.02% 2135 0.03% 618160 0.00% Jordan
20 1914 0.02% 1855 0.02% 1756314 0.01% Croatia
21 1909 0.02% 1716 0.02% 1256728 0.01% Switzerland
22 1862 0.02% 1795 0.02% 44465 0.00% Turkey
23 1345 0.02% 1294 0.02% 28279 0.00% Spain
24 1170 0.01% 1087 0.01% 86474 0.00% US Government (gov)
25 1141 0.01% 1092 0.01% 11613 0.00% Serbia
26 993 0.01% 939 0.01% 170098 0.00% United Kingdom
27 971 0.01% 944 0.01% 208797 0.00% Chile
28 941 0.01% 905 0.01% 2949305 0.02% Finland
29 774 0.01% 716 0.01% 76786 0.00% Taiwan
30 756 0.01% 698 0.01% 11330 0.00% Australia

Generated by Webalizer Version 2.21