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ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
16 years 1 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
ADMA
2006
Springer
150views Data Mining» more  ADMA 2006»
16 years 1 months ago
Web Scale Competitor Discovery Using Mutual Information
Abstract. The web with its rapid expansion has become an excellent resource for gathering information and people’s opinion. A company owner wants to know who is the competitor, a...
Rui Li, Shenghua Bao, Jin Wang, Yuanjie Liu, Yong ...
DEXAW
2005
IEEE
142views Database» more  DEXAW 2005»
16 years 1 months ago
Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field
Data mining (DM) is still a technology having great expectations to enable organizations to take more benefit of their huge databases. There exist some success stories where organ...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
ICDCSW
2005
IEEE
16 years 1 months ago
iMobif: An Informed Mobility Framework for Energy Optimization in Wireless Ad Hoc Networks
Recent research results show that a wireless ad hoc network can exploit controlled node mobility to reduce communication energy consumption. Node movement, however, may consume a ...
Chiping Tang, Philip K. McKinley
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
16 years 1 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi