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» Process Mining Based on Clustering: A Quest for Precision
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 2 days ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
IJIIDS
2008
201views more  IJIIDS 2008»
14 years 11 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
COSIT
2003
Springer
145views GIS» more  COSIT 2003»
15 years 4 months ago
Extracting Landmarks with Data Mining Methods
Abstract. The navigation task is a very demanding application for mobile users. The algorithms of present software solutions are based on the established methods of car navigation ...
Birgit Elias
EMNLP
2010
14 years 9 months ago
A Multi-Pass Sieve for Coreference Resolution
Most coreference resolution models determine if two mentions are coreferent using a single function over a set of constraints or features. This approach can lead to incorrect deci...
Karthik Raghunathan, Heeyoung Lee, Sudarshan Ranga...
JCST
2008
121views more  JCST 2008»
14 years 11 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu