データマイニング予測の仕組み｜JRA-VAN広場｜競馬情報ならJRA-VAN
はじめての方へ 競馬ソフトを開発したい方へ JRA-VAN では、皆様の馬券購入の参考になるように、データマイニング予測として、レース結果を事前に予測しています。 世の中には、気象予測、経済予測、株価予測など、さまざまな予測がコンピュータにより行われています。競馬の世界でも、スピード指数、レーティング指数などさまざまな数式や指数が、勝敗予測のために用いられていますが、それらの中のひとつがJRA-VANのデータマイニング予測です。 2008年1月以降予測の仕組みについて以下の改修を行っております。本文では改修後の仕組みについてご説明します。 予測モデルの細分化 2008年1月から距離別レースクラス別に予測モデルを分割 2009年1月から上記に2歳戦・3歳戦に限定した予測モデルを追加 従来の走破速度予測モデルに加え、競走馬の勝敗を予測するモデルを追加 予測のためのデータとして坂路調教データを追
Data Mining With R - learning with case studies
This book is about learning how to use R for performing data mining. The book follows a "learn by doing it" approach to data mining instead of the more frequent theoretical description of the techniques available in this discipline. This is accomplished by presenting a series of illustrative case studies for which all necessary steps, code and data are provided to the reader. The book writing styl
Sentiment Papers at KDD 2009
There were a few of papers at KDD this year on sentiment mining: Sentiment Analysis of Blogs by Combining Lexical Knowledge with Text Classification, Prem Melville, IBM; Wojciech Gryc, ; Richard Lawrence, IBM, USA Entity Discovery and Assignment for Opinion Mining Applications, Xiaowen Ding, Univ of Illinois at Chicago; Bing Liu, UIC; Lei Zhang, UIC OpinionMiner: A Machine Learning System for Web
Opinion Mining, Sentiment Analysis, Opinion Extraction
Opinion Mining, Sentiment Analysis, and Opinion Spam Detection Feature-Based Opinion Mining and Summarization (or Aspect-Based Sentiment Analysis and Summarization) Detecting Fake Reviews New Book: Sentiment Analysis: mining opinions, sentiments, and emotions. Cambridge University Press, 2015. Book: Sentiment Analysis and Opinion Mining (Introduction and Survey), Morgan & Claypool, May 2012. See "
Michael J. Cafarella
Mike Cafarella Associate Professor Computer Science and Engineering 2260 Hayward St. University of Michigan Ann Arbor, MI 48109-2121 Office: 4709 Beyster Phone: 734-764-9418 Fax: 734-763-8094 Send email to me at michjc, found at umich dot edu Hi. I am an associate professor in Computer Science and Engineering at the University of Michigan. My research interests include databases, information extra
tutorials [Auton Lab]
By: Jeff Schneider, Mary Soon Lee, Andrew Moore Description: A tutorial on using the Windows Vizier software, which provides a GUI for doing fast and autonomous locally weighted learning and nearest neighbor style learning. The Vizier software itself is available for free download at http://www.cs.cmu.edu/~awm/vizier, where you will find more details. Description: This is a link to the Auton Codin
Mining Meaning from Wikipedia
Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This article provides a comprehensive descript
ICDM 2009:Index
04/13/09: Workshop prop. 04/30/09: Contest proposals 06/26/09: Paper submission 06/26/09: Panel proposal 06/26/09: Tutorial prop. 07/7/09: Demo/Exhibit prop. 09/4/09: Author notification 09/28/09: Camera-ready 12/6-9/09: Conference All the dates on this website are referred to Midnight Pacific Standard Time. The 2009 edition of the IEEE International Conference on Data Mining series (ICDM 2009) wi
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List of Data Mining Blogs : Data Mining Research
データマイニングの宝箱