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» Data Mining for Genetics: A Genetic Algorithm Approach
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258
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PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 9 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
275
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SISAP
2011
IEEE
437views Data Mining» more  SISAP 2011»
14 years 6 months ago
Succinct nearest neighbor search
In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
Eric Sadit Tellez, Edgar Chávez, Gonzalo Na...
136
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PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
15 years 9 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester
165
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CIKM
2008
Springer
15 years 5 months ago
Exploiting context to detect sensitive information in call center conversations
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
125
Voted
IADIS
2008
15 years 4 months ago
Towards an Error-Free Stemming
S Stemming is a fundamental step in processing textual data preceding the tasks of information retrieval, text mining, and natural language processing. The common goal of stemming ...
Eiman Tamah Al-Shammari