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KDD
2008
ACM
211views Data Mining» more  KDD 2008»
14 years 10 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
KDD
2005
ACM
185views Data Mining» more  KDD 2005»
14 years 10 months ago
Mining comparable bilingual text corpora for cross-language information integration
Integrating information in multiple natural languages is a challenging task that often requires manually created linguistic resources such as a bilingual dictionary or examples of...
Tao Tao, ChengXiang Zhai
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
14 years 5 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
ICDM
2007
IEEE
99views Data Mining» more  ICDM 2007»
14 years 4 months ago
Optimizing Frequency Queries for Data Mining Applications
Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. In this paper, we compare the memory requi...
Hassan H. Malik, John R. Kender
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 8 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala