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KDnuggets新闻 07:n07，2007年4月10日 |
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数据挖掘者 发表于 2007/4/14 16:39:04 |
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转自：http://www.kdnuggets.com/news/2007/n07/index.html
KDnuggetsTM News 07:n07, Apr 10, 2007
要闻 | 软件 | 课程 | 工作 | 教育/科研 | 出版物 | 简报 | 会议 | 征文 | 语录
投票结果: 常用数据挖掘方法
IDMer： 排在前3位的分别是：决策树/规则归纳(63%)，回归(51%)，聚类(50%)。与2006年相比，更多的挖掘人员采用经典的方法，如决策树、回归等等。SVM和关联规则的使用在减少。 我个人用过的方法除以上3种之外，还包括描述性统计、关联规则、序列分析、神经网络、SVM、K近邻等等。
新投票: Social Bookmarking
2007数据挖掘创新与服务奖: 2007年6月30日前提名
KDnuggets新闻（07:n06）中最受关注的新闻
数据挖掘及分析Blog文章精选
软件
Web分析软件之比较
课程
Webcasts: Clinical Trial Design (Apr 19), Marketing Optimization (May 15)
Free Webcast, Apr 24: The Power of Data-Driven Decisions
Predictive Analytics for Business, Marketing and Web, Prediction Impact, May 10-11, San Francisco
Fair Isaac Complimentary Web Seminar: Meet Model Builder 3.5, June 5
Text Mining Short Course and Workshop, Ashurst, Southampton UK, 21 June 2007
Webcast on-demand: Towards Web-Scale Information Extraction
工作
Wenham, MA: Senior Statistical Analyst at Mullen Advertising
Bellevue, WA: Statistician - Statistical Modeling at T-Mobile
Bellevue, WA: Senior Statistician (STATISTICIAN III) at T-Mobile
Denver, CO: Director Decision Science at Western Union
Bethpage, NY: Director of Customer & Prospect Analysis at Cablevision Systems Corporation
New York, NY: Marketing Consultant/Statistical Analyst, Marketing & Product Development at AXA Equitable
Dallas, TX: Senior Data Mining Analyst at Mary Kay
Coral Springs, FL or Melville, NY: Director Decision Science at First Data Corporation
教育/科研
PhD Studentship in Data Mining / Machine Learning at BYU
出版物
新书: 商业智能对利润的影响
Interview of Occam's Razor's Avinash Kaushik
Tom Bergstra的硕士论文：关于商业智能
How To Not Catch Terrorists
IBM's Many Eyes project seeks stats freaks
简报
Government research to track online networking
CMS WATCH TO RELEASE NEW "WEB ANALYTICS REPORT" IN APRIL
Mining for Cheap Flights
DIAGNOS data mining for mining gold and other minerals
G黱ther Direct Services uses data mining to increase response rates
Cogito Upgrades Relationship Analytics Platform
会议
Marketing Research and Web 2.0: Insights, May 17, Minneapolis, MN
征文
Computational Intelligence in Economics and Finance (CIEF 2007), due Apr 18ML and Data Mining session at Indian AI Conf., due Apr 23Knowledge Discovery and Similarity in Case Based Reasoning, due Apr 30Data Mining in Bioinformatics (BIOKDD07), due May 20Meta-Learning in Neural Networks, due May 25Special Issue on Bioinformatics, TKDD, due Jun 15Special Issue on Scientific Data Mining, due Jun 15
语录
abracadata: Data with little or no validity.
From Juice Analytics Sniglet contest |
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回复:KDnuggets新闻 07:n07，2007年4月10日 |
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VeryDxZ(游客)发表评论于2007/4/14 21:55:25 |
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决策树竟是用得最多的。。
以下为blog主人的回复：
商用和研究差异很大。商业应用只会选择最成熟的方法，尽管也许这种方法不是最好。而研究上则喜欢侧重于如何促进技术上的进步，而非使用这种技术所带来的好处到底有多大。 |
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