[B! stream] gandenã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

ganden id:ganden

streamã«é–¢ã™ã‚‹gandenã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (8)

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ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ç·šå½¢åˆ†é¡žå™¨ã¨SCW - Sideswipe
ã¯ã˜ã‚ã« ã“ã‚“ã«ã¡ã¯ã€‚Machine Learning Advent Calendar 2012 ã€ 12/20 ã‚’æ‹…å½“ã•ã›ã¦ã„ãŸã ã @kazoo04 ã§ã™ã€‚ æ™®æ®µã¯ï¼ˆæ ªï¼‰ã‚¦ã‚µã‚®ã‚£ã§ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚’ã‚„ã£ã¦ã„ã¾ã™ã€‚ ä»Šæ—¥ã®è©± ä»Šæ—¥ã¯ Exact Soft Confidence-Weight Learning (Wang et al, ICML2012) (ä»¥ä¸‹SCW)ã®ã”ç´¹ä»‹ã‚’è‡´ã—ã¾ã™ã€‚ SCWã¯ç·šå½¢ã‚ªãƒ³ãƒ©ã‚¤ãƒ³å½¢åˆ†é¡žå™¨ã®ã²ã¨ã¤ã§ã€ å¦ç¿’ãŒé«˜é€Ÿ ã‚ªãƒ³ãƒ©ã‚¤ãƒ³å¦ç¿’ ãƒŽã‚¤ã‚ºã«å¼·ã„ ç²¾åº¦ãŒè‰¯ã„ ã¨ã„ã†ç´ æ™´ã‚‰ã—ã„ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã™ã€‚ SCWã¯CWã‚’æ”¹è‰¯ã—ãŸã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã™ãŒã€æœ¬è¨˜äº‹ã§ã¯Perceptronã‹ã‚‰å§‹ã¾ã‚Šã€PAã€CWãªã©ã‚’çµŒã¦SCWã«è‡³ã‚‹ã¾ã§ã®éŽç¨‹ã¨SCWã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ã¤ã„ã¦ã¾ã¨ã‚ãŸã„ã¨æ€ã„ã¾ã™ã€‚ æ•°å¼ã®è¡¨è¨˜ ã™ã¿ã¾ã›ã‚“ã€ã¯ã¦ãªãƒ–ãƒã‚°ã‚’å§‹ã‚ãŸã°ã‹ã‚Šã§ã€ãƒ™ã‚¯ãƒˆãƒ«ã‚’å¤ªå—ã®ç«‹ä½“ã«ã™ã‚‹æ–¹æ³•ãŒã‚¤ãƒžã‚¤ãƒã‚ã‹
ganden 2014/01/31
machine_learning

stream
ãƒªãƒ³ã‚¯
Mining of Social Network Streams in Marketing, Predictive Analytics, and Risk Management.
ganden 2014/01/31
social_network

stream

data_mining

forecast
ãƒªãƒ³ã‚¯
GitHub - acromusashi/acromusashi-stream-ml: AcroMUSASHI Stream-ML - Machine Learning Library
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ganden 2014/01/31
machine_learning

stream
ãƒªãƒ³ã‚¯
Samza
Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Battle-tested at scale, it supports flexible deployment options to run on YARN or as a standalone library.
ganden 2014/01/31
samza

framework

stream

distributed

realtime
ãƒªãƒ³ã‚¯
AcroMUSASHI -ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã®é«˜é€Ÿãƒ»ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å‡¦ç†ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ -| Acroquest Technology Co., Ltd
ãƒ¢ãƒã‚¤ãƒ«ã‚„ã‚¯ãƒ©ã‚¦ãƒ‰ã®æ™®åŠã«ä¼´ã†ãƒã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãƒ•ãƒªãƒ¼ãƒ»ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ åŒ–ã™ã‚‹ãƒ“ã‚¸ãƒã‚¹ã€IoTï¼ˆInternet of Thingsï¼šãƒ¢ãƒŽã®ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆï¼‰ã«ã‚ˆã‚‹ã‚»ãƒ³ã‚µãƒ¼ã‚„ãƒ‡ãƒã‚¤ã‚¹ã‚’æ´»ç”¨ã—ãŸäººã€…ã®ç”Ÿæ´»ã®å¤‰é©ãªã©ã«ã‚ˆã‚Šã€ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã®æ´»ç”¨ãƒ‹ãƒ¼ã‚ºã¯å¤šå²ã«æ¸¡ã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸã€‚ AcroMUSASHI ã¯ã€ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã‚’ãƒ™ãƒ¼ã‚¹ã¨ã—ãŸã€ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã®é«˜é€Ÿãƒ»ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å‡¦ç†ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã§ã‚ã‚Šã€ãã®ã‚ˆã†ãªãƒ‹ãƒ¼ã‚ºã«ã€æŸ”è»Ÿã«å¯¾å¿œã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ å¿…è¦ãªæ©Ÿèƒ½ã‚’çµ„ã¿åˆã‚ã›ãƒ»ã‚«ã‚¹ã‚¿ãƒžã‚¤ã‚ºã™ã‚‹ã“ã¨ã«ã‚ˆã‚Šã€ãŠå®¢æ§˜ã®ãƒ‹ãƒ¼ã‚ºã«å¿œã˜ãŸãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã‚’ç´ æ—©ãæ§‹ç¯‰ã§ãã¾ã™ã€‚ ã“ã‚Œã¾ã§æ•°æ™‚é–“ï½ž1æ—¥ã‚’è¦ã—ã¦ã„ãŸã‚ˆã†ãªå‡¦ç†ã‚‚ã€é«˜é€ŸåŒ–ã—ã€å‡¦ç†æ™‚é–“ã‚’æ•°åç§’ï½žæ•°åˆ†ã«çŸç¸®ã™ã‚‹ã“ã¨ã§ã€ã‚¿ã‚¤ãƒ ãƒ©ã‚°ã‚’ãªãã—ã€æ–°ãŸãªãƒ“ã‚¸ãƒã‚¹ã®å±•é–‹ã«ã‚‚ã¤ãªã’ã‚‹ã“ã¨ãŒå¯èƒ½ã¨ãªã‚Šã¾ã™ã€‚ ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿Ã—ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å¾“æ¥ã®ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã¯ã€ä¸»ã«ãƒãƒƒãƒå‡¦ç†ã‚’å¯¾è±¡ã«ã—ã¦
ganden 2014/01/31
big_data

stream

data_mining

storm
ãƒªãƒ³ã‚¯
DATA STREAM MINING
ganden 2014/01/31
stream

data_mining
ãƒªãƒ³ã‚¯
Java8ã®Streamã®ç›®çš„ã¨æ›¸ãã‚„ã™ã•ã‚„å¯èªæ€§ã€ä¸¦è¡Œå‡¦ç†ã®åŠ¹æžœã«ã¤ã„ã¦ - ãã—ã ã®Hatena
ã•ã¦ã€å‰å›žJava8ã®Streamã®ä½¿ã„æ–¹ã‚’ã–ã£ã¨è¦‹ã¦ã¿ãŸã®ã§ã™ã‘ã©ã€ã¯ã¦ãªãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ã®ã‚³ãƒ¡ãƒ³ãƒˆã§ã€ŒJavaãŒä½¿ã‚ã‚Œã¦ã„ã‚‹é ˜åŸŸã§ã“ã‚“ãªè¨€èªžæ‹¡å¼µã¯å¿…è¦ã‹ã€ã€Œå¯èªæ€§ãŒæãªã‚ã‚Œã¦ã„ã¦å˜ãªã‚‹è‡ªå·±æº€è¶³ã§ã¯ãªã„ã‹ã€ã®ã‚ˆã†ãªã‚³ãƒ¡ãƒ³ãƒˆãŒã¤ã„ã¦ã„ã¾ã—ãŸã€‚ å®Ÿéš›ã©ã†ãªã®ã‹è€ƒãˆã¦ã¿ã¾ã™ã€‚ Java8ã®Streamã®ç›®çš„ ã§ã¯ã€ã„ã¾JavaãŒä½¿ã‚ã‚Œã¦ã„ã‚‹é ˜åŸŸã‚’è€ƒãˆã¦ã¿ã¾ã—ã‚‡ã†ã€‚ JavaãŒã„ã¾ã‚ˆãä½¿ã‚ã‚Œã¦ã„ã‚‹ã®ã¯ã€ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‚µã‚¤ãƒ‰ã§ã¯ãªãã‚µãƒ¼ãƒãƒ¼ã‚µã‚¤ãƒ‰ã§ã™ã€‚ã¨ãã«ã€ç›´æŽ¥ã‚¢ã‚¯ã‚»ã‚¹ã‚’ã†ã‘ã¤ã‘ã‚‹ã‚µãƒ¼ãƒãƒ¼ã§ã¯ãªãã€åˆ†æ•£ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã®ãŸã‚ã®Hadoopã‚„HBaseã€å…¨æ–‡æ¤œç´¢ã‚¨ãƒ³ã‚¸ãƒ³ã®Luceneãªã©ã€ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰å‡¦ç†ã‚’è¡Œã†è£½å“ã®ã‚·ã‚§ã‚¢ãŒå¤§ãã„ã‚ˆã†ã«è¦‹ãˆã¾ã™ã€‚ Twitterã‚„Googleã§ã‚‚ã€Javaã§æ›¸ã‹ã‚ŒãŸãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ãŒå‹•ã„ã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚Facebookã‚‚åˆ†æžç³»ã§ã¯Javaã‚’ä½¿ã£ã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚ å¤§æ‰‹ã‚µãƒ¼ãƒ“ã‚¹ã§ãƒãƒƒ
ganden 2013/06/27
stream

java

java8
ãƒªãƒ³ã‚¯
Java8ã®Streamã‚’ä½¿ã„ã“ãªã™ - ãã—ã ã®Hatena
ã•ã¦ã€Java8ã§é–¢æ•°åž‹ã£ã½ã„ã“ã¨ã‚’ã‚„ã£ã¦éŠã‚“ã§ã¿ãŸã‚ã‘ã§ã™ãŒã€å®Ÿéš›ã¯ãã‚“ãªæ›¸ãæ–¹ã—ã¾ã›ã‚“ã‚ˆãã€‚ Java8ã§å®Ÿéš›ã«ä½¿ã†ã®ã¯ã€Streamã§ã™ã€‚ ã¨ã„ã†ã“ã¨ã§ã€Streamã®ä½¿ã„æ–¹ã‚’ã²ã¨ã¨ãŠã‚Šè¦‹ã¦ã¿ã¾ã™ã€‚ â€»5/17 ä»•æ§˜å¤‰æ›´ãŒã‚ã£ãŸã®ã§ã€ä¿®æ£ã—ã¾ã—ãŸ åŸºæœ¬ ã¾ãšã¯ã€Iterableã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹ã«ç”¨æ„ã•ã‚ŒãŸforEachãƒ¡ã‚½ãƒƒãƒ‰ã‚’è¦‹ã¦ã¿ã¾ã—ã‚‡ã†ã€‚ List<String> names = Arrays.asList("hoge hoge", "foo bar", "naoki", "kishida"); names.forEach(s -> System.out.println(s)); ã“ã‚Œã§æ¬¡ã®ã‚ˆã†ã«è¡¨ç¤ºã•ã‚Œã¾ã™ã€‚ hoge hoge foo bar naoki kishida ã„ã¾ã¾ã§ã®æ‹¡å¼µforã ã¨æ¬¡ã®ã‚ˆã†ã«æ›¸ã„ã¦ã¾ã—ãŸ List<String> names = Arrays.a
ganden 2013/06/27
stream

java

java8
ãƒªãƒ³ã‚¯
1