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» Feature Extraction for Massive Data Mining
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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 3 months ago
Recommendation via Query Centered Random Walk on K-Partite Graph
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William...
WAIM
2004
Springer
15 years 2 months ago
Mining Inheritance Rules from Genealogical Data
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
Yen-Liang Chen, Jing-Tin Lu
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 10 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
IEEEARES
2010
IEEE
15 years 2 months ago
Detection of Spyware by Mining Executable Files
Spyware represents a serious threat to confidentiality since it may result in loss of control over private data for computer users. This type of software might collect the data and...
Raja Khurram Shahzad, Syed Imran Haider, Niklas La...
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
15 years 10 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang