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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 9 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
KIC
2000
13 years 10 months ago
Knowledge Discovery and Data Mining within a Design Environment
Designers, in the process of satisfying design requirements, generally encounter difficulties in, firstly, understanding the problem and secondly, finding a solution [Cross 1998]....
Mark K. D. Haffey, Alex H. B. Duffy
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
14 years 2 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
14 years 9 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
DEXA
2008
Springer
151views Database» more  DEXA 2008»
13 years 10 months ago
Extraction of Opposite Sentiments in Classified Free Format Text Reviews
Opinion mining received well attention in finding personal opinions from user generated content. These opinions contain valuable information for improving and/or comparing the prod...
Dong (Haoyuan) Li, Anne Laurent, Mathieu Roche, Pa...