Conference

WSDM(Web Search and Data Mining)The ACM WSDM Conference Series

不像KDD、WWW或者SIGIR,WSDM因为从最开始就由不少工业界的学术领导人发起并且长期引领,所以十分重视工业界的学术成果的展现。

2017

WSDM 2017精选论文解读

2016

前沿理论、反思创新、产学结合——你不能错过的WSDM 2016大会

Accepted Paper

2015

严谨与特色并行——WSDM 2015大会见闻记

其他

聚焦前沿——解读计算机科学领域的顶级学术会议

如何让人工智能学会用数据说话

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    Abstract The content of the web has increasingly become a focus for academic research. Computer prog ...

  2. Machine Learning and Data Mining(机器学习与数据挖掘)

    Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcemen ...

  3. 18 Candidates for the Top 10 Algorithms in Data Mining

    Classification============== #1. C4.5 Quinlan, J. R. 1993. C4.5: Programs for Machine Learning.Morga ...

  4. Datasets for Data Mining and Data Science

    https://github.com/mattbane/RecommenderSystem http://grouplens.org/datasets/movielens/ KDDCUP-2012官网 ...

  5. Distributed Databases and Data Mining: Class timetable

    Course textbooks Text 1: M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2n ...

  6. What is the most common software of data mining? (整理中)

    What is the most common software of data mining? 1 Orange? 2 Weka? 3 Apache mahout? 4 Rapidminer? 5 ...

  7. What’s the difference between data mining and data warehousing?

    Data mining is the process of finding patterns in a given data set. These patterns can often provide ...

  8. cluster analysis in data mining

    https://en.wikipedia.org/wiki/K-means_clustering k-means clustering is a method of vector quantizati ...

  9. Weka 3: Data Mining Software in Java

    官方网站: Weka 3: Data Mining Software in Java 相关使用方法博客 WEKA使用教程(经典教程转载) (实例数据:bank-data.csv) Weka初步一.二. ...

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