Sisense blog: AI, analytics, and the future of insights
Home > Sisense blog: AI, analytics, and the future of insights By Maor Aharoni and Maria Ciampa March 2, 2026 Sisense product roundup: AI connectivity, security, and smarter dashboards in 2026.1 With the 2026.1.0 release, Sisense continues to focus on making analytics more accessible, flexible, and secure for teams building data-driven products. This release introduces major advancements like the
TA-Lib - Technical Analysis Library
Use TA-Lib to add technical analysis to your own financial market trading applications 200 indicators such as ADX, MACD, RSI, Stochastic, Bollinger Bands etc... See complete list... Candlestick patterns recognition Core written in C/C++ with API also available for Python, R, Ruby, and Zig. Open-Source (BSD License). Can be freely integrated in your own open-source or commercial applications. TA-Li
request-log-analyzerã§Railsã®ãƒã‚°ã‚’解æžã™ã‚‹ - rochefort's blog
wvanbergen/request-log-analyzer ãŒãªã‹ãªã‹ä½¿ãˆãã†ãªã®ã§ã€ã”紹介。 how to install gem i request-log-analyzer how to use ãƒã‚°é£Ÿã‚ã›ã‚‹ã ã‘。 $ request-log-analyzer log/development.log é…ã„処ç†ã‚’特定ã™ã‚‹ã®ã«ã¯ã„ã„æ„Ÿã˜ã€‚ ・Request duration - by mean ・View rendering time - by mean ・Database time - by mean Request-log-analyzer, by Willem van Bergen and Bart ten Brinke - version 1.12.1 Website: http://railsdoctors.com development.log: 100% [======
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機械å¦ç¿’ã¯å…¨ç„¶å°‚é–€ã§ã¯ãªã„僕ãŒçŸ¥ã£ãŸã‹ã¶ã‚Šã‚’ã™ã‚‹ã®ã‚‚何ãªã®ã§*1ã€ã‚‚ã£ã¨ã‚‚ã£ã¨ä»¥å‰ã‹ã‚‰ãã“ãã“ã‚„ã£ã¦ã„ã‚‹*2計é‡æ™‚系列分æžã®è©±ã§ã‚‚ã—ã¦ãŠèŒ¶ã‚’æ¿ã—ã¦ã¿ã‚‹ã“ã¨ã«ã—ã¾ã™ï¼ˆç¬‘）。 ã‚‚ã†ã—ã¤ã“éŽãŽã¦è‡ªåˆ†ã§ã‚‚å«Œã«ãªã£ã¦ããŸã‚“ã§ã™ãŒï¼ˆç¬‘）ã€ã“ã®ã‚·ãƒªãƒ¼ã‚ºã§ãƒ™ãƒ¼ã‚¹ã«ã™ã‚‹ãƒ†ã‚ストã¯ä»¥ä¸‹ã®2冊。沖本テã‚ストã¨Hamiltonテã‚ストã§ã™*3。他ã«ã‚‚良ã„テã‚ストã¯ã‚ã‚‹ã‚“ã˜ã‚ƒãªã„ã‹ã¨æ€ã„ã¾ã™ãŒã€ã“ã“ã§ã¯ã“ã®2冊をベースã«ã—ã¦ã„ãã¾ã™ã€‚ãªãŠã€ã»ã¨ã‚“ã©æ²–本テã‚ストã‹ã‚‰ã®æŠœç²‹ãªã®ã§ãŠæŒã¡ã®æ–¹ã¯ãã¡ã‚‰ã‚’èªã‚“ã§ã‚‚らã£ãŸæ–¹ãŒåœ§å€’çš„ã«æ—©ã„ã§ã™ã€æ‚ªã—ã‹ã‚‰ãšã€‚ 経済・ファイナンスデータã®è¨ˆé‡æ™‚ç³»åˆ—åˆ†æž (統計ライブラリー) 作者: 沖本竜義出版社/メーカー: æœå€‰æ›¸åº—発売日: 2010/02/01メディア: å˜è¡Œæœ¬è³¼å…¥: 4人 クリック: 101回ã“ã®å•†å“ã‚’å«ã‚€ãƒ–ãƒã‚° (6件) を見る Time Series Analysis 作者
HITS algorithm - Wikipedia
Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg. The idea behind Hubs and Authorities stemmed from a particular insight into the creation of web pages when the Internet was originally forming; that is, certain web pages, known as hubs, served as large directories that were not actually authorita
主æˆåˆ†åˆ†æž - Wikipedia
出典ãŒã¾ã£ãŸã示ã•ã‚Œã¦ã„ãªã„ã‹ä¸å分ã§ã™ã€‚内容ã«é–¢ã™ã‚‹æ–‡çŒ®ã‚„æƒ…å ±æºãŒå¿…è¦ã§ã™ã€‚（2015å¹´5月） 内容ãŒå°‚門的ã§ã‚ã‹ã‚Šã«ãããªã£ã¦ã„ã‚‹æã‚ŒãŒã‚ã‚Šã¾ã™ã€‚（2015å¹´5月） 出典検索?: "主æˆåˆ†åˆ†æž" – ニュース · 書ç±Â · スカラー · CiNii · J-STAGE · NDL · dlib.jp · ジャパンサーãƒÂ · TWL (1, 3) ã‚’ä¸å¿ƒã¨ã—(0.866, 0.5) æ–¹å‘ã®æ¨™æº–å差㌠3ã€ãã‚Œã«ç›´äº¤ã™ã‚‹æ–¹å‘ã®æ¨™æº–å差㌠1 ã®å¤šå¤‰é‡æ£è¦åˆ†å¸ƒã«å¾“ã†ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã«å¯¾ã™ã‚‹ä¸»æˆåˆ†åˆ†æžã®çµæžœã€‚矢å°ã§ç¤ºã•ã‚Œã‚‹ 2 ã¤ãƒ™ã‚¯ãƒˆãƒ«ã¯å…±åˆ†æ•£è¡Œåˆ—ã®å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã§ã‚ã‚Šã€ãƒ™ã‚¯ãƒˆãƒ«ã®é•·ã•ã¯ãã‚Œãžã‚Œã®å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã®å›ºæœ‰å€¤ã®å¹³æ–¹æ ¹ã«ç‰ã—ããªã‚‹ã‚ˆã†ã«ã‚¹ã‚±ãƒ¼ãƒ«ã•ã‚Œã¦ã„る。ã¾ãŸ 2 ã¤ã®å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã¯åˆ†å¸ƒã®ä¸å¿ƒï¼ˆå¹³å‡ï¼‰ãŒåŽŸç‚¹ã¨ãªã‚‹ã‚ˆã†ã«é…ç½®ã—ã¦ã‚る。 主æˆåˆ†åˆ†æžï¼ˆã—ã‚…ã›ã„ã¶ã‚“ã¶ã‚“ã›ãã€è‹±: principal
ã€åˆ†æžã€‘ツイッター分æžã®ã‚·ãƒªãƒ¼ã‚ºã®ç›®æ¬¡ã€€by Twitter4J
最終更新日：2024/06/24 ツイッター分æžã‚·ãƒªãƒ¼ã‚ºã®ç›®æ¬¡ã§ã™ã€‚ ãªãŠã€Twitter4Jã¨ã¯Twitterを楽ã«ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã§ãるツールã®ã“ã¨ã§Androidã‚„Javaベースã®æœ‰åTwitterクライアントã§å¤šæ•°ä½¿ã‚ã‚Œã¦ã„ã¾ã™ã€‚ã“ã®åˆ†æžã§ã¯ãƒ„イートã®ãƒ‡ãƒ¼ã‚¿ã‚’å–å¾—ã™ã‚‹ã®ã«ä½¿ã£ã¦ã„ã¾ã™ã€‚ 2012年版 ç´„173万ツイート分æžç·¨ï¼ˆæ—¥æœ¬èªžã®ã¿ï¼‰ 導入考ãˆãŒã¼ã‚“ã‚„ã‚Šã¨æµ®ã‹ã‚“ã§ã„㟠ã€åˆ†æžã€‘Twitter4Jを使ã£ãŸTwitterã®ãƒ„イートã®åˆ†æžæ–¹æ³•ã«ã¤ã„ã¦è€ƒãˆã¦ã¿ãŸ 試ã—ã«åˆ†æžã—ã¦ãã‚Œãªã‚Šã®çµæžœãŒå‡ºãŸ ã€åˆ†æžã€‘Twitter4Jã¨çµ±è¨ˆã‚½ãƒ•ãƒˆRを使ã£ãŸTwitterã®åˆ©ç”¨ã‚¢ãƒ—リã¨ãƒ„イートã®é•·ã•ï¼ˆæ–‡å—数）ã«ã¤ã„ã¦ï¼ˆç²—ã„分æžï¼‰ ãã®ï¼‘　約173万ツイート（日本語ã®ã¿ï¼‰ã‚’使ã£ãŸåˆ†æžã¯ã“ã“ã‹ã‚‰å§‹ã¾ã£ãŸ ã€åˆ†æžã€‘Twitterã®ãƒ„イートã®åˆ†æžæ–¹æ³•ã€€by Twitter4J ãã®ï¼‘ ãã®ï¼’　曜日別・時間帯
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GitHub - wvanbergen/request-log-analyzer: Create reports based on your log files. Supports Rails, Apache, MySQL, Delayed::Job, and other formats.
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