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» Techniques of Cluster Algorithms in Data Mining
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JIDM
2010
145views more  JIDM 2010»
15 years 4 months ago
Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of na...
Luciana A. S. Romani, Ana Maria Heuminski de &Aacu...
AI
2009
Springer
16 years 1 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
IDEAL
2005
Springer
15 years 12 months ago
Probabilistic Data Generation for Deduplication and Data Linkage
Abstract. In many data mining projects the data to be analysed contains personal information, like names and addresses. Cleaning and preprocessing of such data likely involves dedu...
Peter Christen
DAWAK
2006
Springer
15 years 10 months ago
Efficient Mining of Dissociation Rules
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Mikolaj Morzy
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 3 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat