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

Conference-Web Search and Data Mining的更多相关文章

  1. A web crawler design for data mining

    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. ...

随机推荐

  1. uva 10870

    https://vjudge.net/problem/UVA-10870 题意: f(n) = a1f(n − 1) + a2f(n − 2) + a3f(n − 3) + . . . + adf(n ...

  2. Java面试题——中级（上）

    List和Set比较,各自的子类比较 对比一:Arraylist与LinkedList的比较 1.ArrayList是实现了基于动态数组的数据结构,因为地址连续,一旦数据存储好了,查询操作效率会比较高 ...

  3. 追女神助手v0.1

    #-*-coding:utf8-*- import smtplib from email.mime.text import MIMEText import requests from lxml imp ...

  4. requests-所有异常归类

    IOError RequestException HTTPError(RequestException) UnrewindableBodyError(RequestException) RetryEr ...

  5. 正则－匹配IP地址

    >>> re.search(r'[aeiouAEIOU]','I love FishC.com!') 中括号里面的任意一个字符匹配成功就会返回数值 <_sre.SRE_Matc ...

  6. C++11的value category（值类别）以及move semantics（移动语义）

    转载请保留以下声明 作者:赵宗晟 出处:http://www.cnblogs.com/zhao-zongsheng/p/value_categories_and_move_semantics.html ...

  7. C++Primer学习——const

    Const int size = 512; 在编译的时候,编译器会把用到该变量的地方全部替换成对应的值. const&可以绑定字面值,所以当用常量引用绑定一个常量时,是否可以看成那个值在编译阶 ...

  8. hdu 5480(前缀和)

    题意:如果一个点,则这点的横竖皆被占领,询问矩阵是否全被占领. 思路:将被占领的x,y标记为1,用x表示1 - i的和 如果x轴的差为 x2 - x1 + 1则表示全被占领,y轴同理 #include ...

  9. bzoj1044[HAOI2008]木棍分割 单调队列优化dp

    1044: [HAOI2008]木棍分割 Time Limit: 10 Sec  Memory Limit: 162 MBSubmit: 4314  Solved: 1664[Submit][Stat ...

  10. [APIO2011]

    来自FallDream的博客,未经允许,请勿转载,谢谢. ------------------------------------------------------ A.[Apio2011]方格染色 ...