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EMNLP
2010
13 years 5 months ago
A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web
Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a roo...
Zornitsa Kozareva, Eduard H. Hovy
BPM
2008
Springer
109views Business» more  BPM 2008»
13 years 9 months ago
Automating Knowledge Transfer and Creation in Knowledge Intensive Business Processes
It is a well known fact that a wealth of knowledge relies in the employees which makes them one of the most or even the most valuable asset of organisations. But often this knowled...
Michael Granitzer, Gisela Granitzer, Klaus Tochter...
PREMI
2005
Springer
14 years 25 days ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 7 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
KDD
2008
ACM
284views Data Mining» more  KDD 2008»
14 years 7 months ago
Community evolution in dynamic multi-mode networks
A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode netw...
Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri