Two news article datasets, originating from BBC News, provided for use as benchmarks for machine learning research. These datasets are made available for non-commercial and research purposes only. If you make use of these datasets please consider citing the publication: D. Greene and P. Cunningham. "Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering", Proc. ICML
Treasure Dataã®ãµã¼ãã¹ã¯ã¯ã©ã¦ãä¸ã§ã©ãæ§ç¯ããã¦ããã®ãï¼å¾ç·¨ï¼ï½July Tech Festa 2013 Treasure Dataã¨ããã°ãæ¥æ¬äººãã·ãªã³ã³ãã¬ã¼ã§åµæ¥ãããã³ãã£ã¼ã¨ãã¦ç¥ããã¦ããä¼æ¥ããã®ã·ãã¢ã½ããã¦ã§ã¢ã¨ã³ã¸ãã¢ä¸å·çå®æ°ãã7æ14æ¥ã«è¡ãããJuly Tech Festa 2013ã®åºèª¿è¬æ¼ã§ãå社ãã¯ã©ã¦ãä¸ã§æ§ç¯ãããµã¼ãã¹ã«ã¤ãã¦ãã®ã¢ã¼ããã¯ãã£ãä¸å¿ã«è§£èª¬ãè¡ã£ã¦ãã¾ãã ãã®è¨äºã¯ãTreasure Dataã®ãµã¼ãã¹ã¯ã¯ã©ã¦ãä¸ã§ã©ãæ§ç¯ããã¦ããã®ãï¼åç·¨ï¼ï½Japan Tech Festa 2013ãã®ç¶ãã§ãã ãã¼ã¿ã解æãããPlazmaãã®ä»çµã¿ ãã¼ã¿ã解æããã¨ããã§ã¯ãPlazmaãã¨å¼ã¶ãHadoopã®ã¨ã³ã·ã¹ãã ã¨ã«ã©ã ã¹ãã¢ãªã©ãçµã¿åããããã®ãç¨ãã¦ãã¾ãã
This document summarizes Plazma, Treasure Data's distributed analytical database that can import 40 billion records per day. It discusses how Plazma reliably imports and processes large volumes of data through its scalable architecture with real-time and archive storage. Data is imported using Fluentd and processed using its column-oriented, schema-on-read design to enable fast queries. The docume
æ¥ä»å½¢å¼ã¾ãã¯æ¥ä»æå»å½¢å¼ã§æå®ããæ¥ä»dateã®ææ¥ã¤ã³ããã¯ã¹ï¼1=æ¥ã2=æã3=ç«ã4=æ°´ã5=æ¨ã6=éã7=åï¼ãè¿ãã¾ãã åå¨ããªãæ¥ä»ãæ¥ä»æå»ãæå®ããå ´åã¯ãNULLãè¿ãã¾ãã mysql> SELECT DAYOFWEEK('2006-12-25'); Enter +-------------------------+ | dayofweek('2006-12-25') | +-------------------------+ | 2 | +-------------------------+ 1 row in set (0.00 sec) mysql> SELECT DAYOFWEEK('2006-12-25 23:50:00'); Enter +----------------------------------+ | dayofweek('2006-12-
ãµã¼ãã¹çµäºã®ãç¥ãã ãã¤ãYahoo! JAPANã®ãµã¼ãã¹ããå©ç¨ããã ãèª ã«ãããã¨ããããã¾ãã ã客æ§ãã¢ã¯ã»ã¹ããããµã¼ãã¹ã¯æ¬æ¥ã¾ã§ã«ãµã¼ãã¹ãçµäºãããã¾ããã ä»å¾ã¨ãYahoo! JAPANã®ãµã¼ãã¹ããæ顧ãã ããã¾ãããããããããé¡ããããã¾ãã
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release. The so-called CSV (Comma Separated Values) format is the most common import and export format for spreadsheets and databases. There is no âCSV standardâ, so the format is operationally defined by the many applications which read and write i
åæ£KVSãè¦æãªãã©ã³ã¶ã¯ã·ã§ã³ã®ãACIDç¹æ§ã RDBã®ããã«ããã¼ãã«ã¨ãã¼ãã«ãçµåï¼SQLã§ããJOINæï¼ãã¦è¤éãªæ¡ä»¶æ¤ç´¢ãéè¨å¦çãä¸çºã§ããªããããªè¸å½ã¯ã§ãã¾ãããã¾ãããã©ã³ã¶ã¯ã·ã§ã³ã«ãããACIDç¹æ§ãã®ç¢ºä¿ãåæ£KVSãè¦æãªåéã§ãã RDBãä¸å¾æãªåæ£ï¼æ¡å¼µ ãã®ããããããã®ä¸è¶³ãã¢ããªã±ã¼ã·ã§ã³å´ã§è£ãããã®ãã¾ãã¾ãªå·¥å¤«ããã©ãã¼ãå¿ è¦ã¨ãªãã¾ãããã®ä¸æ¹ã§ãåæ£KVSã¯ãã¼ã¿ã¹ãã¢å ¨ä½ããããã§ãå¤ãã®ãµã¼ãã«åæ£ï¼ã¹ã±ã¼ã«ã¢ã¦ãï¼ã§ããã®ãæ大ã®ç¹å¾´ã§ãã ä¸æ¹ã§ããã¯ãRDBãæãä¸å¾æã¨ããã¨ããã§ããRDBã§ã¯ããã®é·æã§ãããã¼ãã«çµåãACIDã®ç¢ºä¿ãããã«ããã¯ã¨ãªããè¤æ°ã®ãµã¼ãã«ã¹ã±ã¼ã«ã¢ã¦ãããããã¨ããåççãã«å®¹æã§ã¯ããã¾ããããã®ãããè² è·åæ£ãé«å¯ç¨æ§ãä½ã³ã¹ãã§å®ç¾ãããã¨ãå°é£ã§ãã RDBã§è² è·åæ£ããããã¨ã
å§ç¸®å ¨æç´¢å¼ã®å®è£ ãªã©ã§ãã°ãã°å©ç¨ããã Rank/Select è¾æ¸ã¨å¼ã°ãããã¼ã¿æ§é ãããã¾ãã詳ããã¯åèæç®ãåç §ãã¦ããã ãã¨ãã¦ãä»åã¯ä¸è¬ã®æååã«å¯¾ãã¦å¹ççã« Rank/Select ãå¯è½ã¨ãããã¼ã¿æ§é ã§ãã Wavelet Tree (ã¦ã§ã¼ãã¬ããæ¨) ã®ã©ã¤ãã©ãªãä½ãã¾ããã http://github.com/naoya/perl-algorithm-wavelettree/tree/master my $wt = Algorithm::WaveletTree->new("abccbbabca"); is $wt->rank(6, 'a'), 2; is $wt->rank(6, 'b'), 3; is $wt->rank(9, 'b'), 4; is $wt->select(0, 'a'), 0; is $wt->select(1, 'a'), 6;
ã¯ãã㫠大è¦æ¨¡ãªãã¼ã¿ãæ±ãã¢ããªã±ã¼ã·ã§ã³ã§ã¯ãé度ã¨ã¨ãã«ä½æ¥é åéã大ããªåé¡ã¨ãªãã¾ããä½æ¥é åãã¡ã¤ã³ã¡ã¢ãªã«åã¾ããªãå ´åãã¹ã¯ããã³ã°ãçºçããå¤§å¹ ãªé度ä½ä¸ã«ã¤ãªããã¾ãããã®ããè¿å¹´ããã¼ã¿æ§é ã¯é«éãªã ãã§ãªããä½æ¥é åéãå°ãããã¨ãæ±ãããã¦ãã¾ããä»åç´¹ä»ããã®ã¯2003å¹´ã«ææ¡ããããã¼ã¿æ§é ãwavelet treeï¼ä»¥ä¸ãWTãã¨è¡¨è¨ï¼ã§ããWTã¯å§ç¸®ç´¢å¼ãSuccinct Data Structureãªã©ããã¼ã¿ãã³ã³ãã¯ãã«è¡¨ç¾ããéã«éè¦ãªãã¼ã¿æ§é ã§ããWTã¯æååT[0...n-1]ãä¸ããããæã次ã®2ã¤ã®æä½ãå®æ°æéã§ãµãã¼ããã¾ãã rank(p, c)ââT[0...p]ä¸ã®cã®åºç¾åæ°ãè¿ã select(i, c)ââ(i+1)çªç®ã®cã®ä½ç½®ãè¿ã WTã®ä½æ¥é åéã¯ãæååããã®ã¾ã¾ä¿åããæã®ç´2åç¨åº¦ã§ãã 対象èªè C++ã®
ãæ¥æ¬èªå ¥åãæ¯ããæè¡ãï¼é称ã徳永æ¬ãï¼ããé«éæåå解æã®ä¸çãï¼é称ã岡éåæ¬ãï¼ã§ç´¹ä»ããã¦ãã LOUDS ã¨ãããã¼ã¿æ§é ãã12åã«åãã¦è§£èª¬ãã¾ããã åéã«æããæã«ä½¿ã£ããã®ã§ãç·´ç¿åé¡ä»ãã§ãã å®éã«ç´ã«æ¸ãã¦ãã£ã¦ã¿ãã¨ããããããã¨æãã¾ãã 詳解 LOUDS (1) LOUDS ã¨ã¯ 詳解 LOUDS (2) ãããåãä½ã£ã¦ã¿ã 詳解 LOUDS (3) 0çªãã¼ã 詳解 LOUDS (4) ãããã®æå³ è©³è§£ LOUDS (5) æ¨æ§é ã®å¾©å 詳解 LOUDS (6) ã¤ã³ããã¯ã¹ã§ãã¼ãã表ã 詳解 LOUDS (7) ãã¼ãçªå·ããã¤ã³ããã¯ã¹ãå¾ã 詳解 LOUDS (8) ã¤ã³ããã¯ã¹ãããã¼ãçªå·ãå¾ã 詳解 LOUDS (9) åãã¼ããã親ãã¼ã 詳解 LOUDS (10) 親ãã¼ãããåãã¼ã 詳解 LOUDS (11) æ¨ã®æ¤ç´¢ 詳解
id:echizen_tm ããã®è¨äºãã¦ã§ã¼ãã¬ããæ¨ã®å¹ççã§ç°¡åãªå®è£ "The Wavelet Matrix"ãããå§ã¾ã£ãã¦ã§ã¼ãã¬ããè¡åãã¼ã ããå年以ä¸ãéãããã§ã«æ¯ããæè¡ã¨ãã¦ç¢ºç«ããã¤ã¤ããæãããã¾ãã â¦åã§ãã æ¥æ¬ä»¥å¤ã§ã¯ããã¾ãæ¥ã¦ãã¾ããã çç±ã¨ãã¦ã¯ããã¯ãã¢ã«ãã¡ãããåã§ã¯åèªå¢çãæ確ã§ããããããã¡ãã®è¨äºã§æ¸ããã¦ãããããªããã¼ã¯ã¼ãåå²ã®é£æ度ãã¨ãã£ããã¨ããã¾ãåé¡ã«ãªããªãã¨ãããã¨ãããããããã¾ããã ã¾ããããããããã§å±æçã«æ¥ã¦ããã¦ã§ã¼ãã¬ããè¡åã§ãããæ¥æ¬èªãã¯ããã¨ããåèªå¢çã®ãªãè¨èªåã«ã¨ã£ã¦ã¯éè¦ãªãã¿ã§ããã¨æãããã解説è¨äºãæ¸ãç´ãã¦*1ã¿ããã¨æãã¾ãã ã¦ã§ã¼ãã¬ããè¡åã§ã§ããã㨠主ã¨ãªãæä½ã¯ãæååã«å¯¾ãã å®æ°æéã® rank() 㨠select()*2 ã§ãã rank() ã¯ããæ
以åããç°¡æ½ãã¼ã¿æ§é LOUDS ã®è§£èª¬ãã¨ããã·ãªã¼ãºã®è¨äºãæ¸ãããã¨ãããã¾ãã LOUDS ã¨ããã®ã¯æ¨æ§é ãtrieãç°¡æ½ã«è¡¨ããã¨ãã§ãããã¼ã¿æ§é ãªã®ã§ããããã®ä¸ã§ãç°¡æ½ããããã¯ãã«ãã¨ãããã®ã«ã¤ãã¦ã¯ãã©ãã¯ããã¯ã¹ã¨ãã¦æ±ã£ã¦ãã¾ããã ã¾ããä¸å¦çã«ããããã¦ã§ã¼ãã¬ããè¡åãæ¸ããã¨ããããã®ä¸ã§åºã¦ãããå®åè¾æ¸ãã®å®è£ ã«ã¯è§¦ãã¾ããã§ããã ãã®ãç°¡æ½ããããã¯ãã«ããå®åè¾æ¸ãã¯ãåããã®ãæãã¦ãã¾ã*1ã ä»åã¯ããã®ãã¼ã¿æ§é *2ã«ã¤ãã¦æ¸ãã¦ã¿ã¾ãã å®åè¾æ¸ã§ã§ããã㨠ãããåã«å¯¾ããå®æ°æéã® rank 㨠selectã§ã*3ã rank()ã¯ãããããåã®å é ããä½ç½® k ã¾ã§ã«ã1 ã®ããããããã¤ãããã*4ã select()ã¯ãããããåã®å é ããè¦ã¦ãn åç®ã® 1 ã®ãããã®æ¬¡ã®ä½ç½®ã¯ã©ããã*5ã ããããä¾ãæãã¾ãã
ï¼»éå ±ï¼½Amazon Auroraçºè¡¨ãMySQLäºæã§æ§è½5åãåç¨ãªã¬ã¼ã·ã§ãã«ãã¼ã¿ãã¼ã¹ã¨åçã®æ©è½ãæä¾ããããã¼ã¸ããªãã¼ã¿ãã¼ã¹ãµã¼ãã¹ãAWS re:Invent 2014 Amazonã¯ã©ã¦ããæä¾ããAmazon Web Servicesã¯ãå社ã®å¹´æ¬¡ã¤ãã³ããAWS re:Inventããç±³ã©ã¹ãã¬ã¹ã§éå¬ãã¦ãã¾ãã åæ¥ã®åºèª¿è¬æ¼ã§ã¯ãã¯ã©ã¦ããã¨ã³ã¿ã¼ãã©ã¤ãºITã«ããããã¥ã¼ãã¼ãã«ï¼æ°ããæ®éï¼ã§ãããã¨ã強調ãæ°ãµã¼ãã¹ã¨ãã¦ãMySQLäºæã§ããã¤ã¤åç¨ãªã¬ã¼ã·ã§ãã«ãã¼ã¿ãã¼ã¹ä¸¦ã®æ§è½ã¨æ©è½ãå®ç¾ããã¨ãããAmazon Auroraããçºè¡¨ãã¾ããã MySQLã¨ãã«äºæã§ãããªãã5åã®æ§è½ Amazon Web Servicesã·ãã¢ãã¤ã¹ãã¬ã¸ãã³ã Andy Jassyæ°ã æ¢åã®ãªã¬ã¼ã·ã§ãã«ãã¼ã¿ãã¼ã¹ã¨ããã®ã¯é«ä¾¡ã§ããããã©ã¤ã¨ã¿ãªã§
ãµã³ãã«ã¯ãã¡ãããã¼ã¿ãã¼ã¹(testDB)ã®ä¸ã«ãã¼ãã«(test)ãä½æãã2件ã®ãã¼ã¿ã INSERT ãããã®ãã¼ã¿ã SELECT ã§èªã¿åºãã¦è¡¨ç¤ºãã¦ãã¾ãã Web SQL Database Sample <!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title>Web SQL Database Sample</title> <style> #message { margin:1em; width:500px; border:1px solid gray; padding:1em; } </style> <script> function print(msg) { document.getElementById("message").innerHTML += msg + "<br>"; } function te
ã»ãã¥ãªãã£ã½ãªã¥ã¼ã·ã§ã³äºæ¥é¨ããã®ãç¥ãã ã»ãã¥ãªãã£ã½ãªã¥ã¼ã·ã§ã³äºæ¥é¨ã®ããã°ãµã¤ããæ°ãã«éè¨ãããã¾ããã https://blog.sie-security.com/ ä»å¾ã®ã»ãã¥ãªãã£ãã¥ã¼ã¹ã®æ稿ã¯ä¸è¨URLã®ãµã¤ãããã¨ãªãã¾ãããããããé¡ããããã¾ãã æ å½ï¼TY â¦More Read
ã»ãã¥ãªãã£ã½ãªã¥ã¼ã·ã§ã³äºæ¥é¨ããã®ãç¥ãã ã»ãã¥ãªãã£ã½ãªã¥ã¼ã·ã§ã³äºæ¥é¨ã®ããã°ãµã¤ããæ°ãã«éè¨ãããã¾ããã https://blog.sie-security.com/ ä»å¾ã®ã»ãã¥ãªãã£ãã¥ã¼ã¹ã®æ稿ã¯ä¸è¨URLã®ãµã¤ãããã¨ãªãã¾ãããããããé¡ããããã¾ãã æ å½ï¼TY â¦More Read
ã»ãã¥ãªãã£ã½ãªã¥ã¼ã·ã§ã³äºæ¥é¨ããã®ãç¥ãã ã»ãã¥ãªãã£ã½ãªã¥ã¼ã·ã§ã³äºæ¥é¨ã®ããã°ãµã¤ããæ°ãã«éè¨ãããã¾ããã https://blog.sie-security.com/ ä»å¾ã®ã»ãã¥ãªãã£ãã¥ã¼ã¹ã®æ稿ã¯ä¸è¨URLã®ãµã¤ãããã¨ãªãã¾ãããããããé¡ããããã¾ãã æ å½ï¼TY â¦More Read
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ã©ã³ãã³ã°
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}