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KDD
2002
ACM
169views Data Mining» more  KDD 2002»
14 years 10 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
14 years 10 months ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 10 months 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
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
14 years 10 months ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
14 years 10 months ago
On the need for time series data mining benchmarks: a survey and empirical demonstration
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...
Eamonn J. Keogh, Shruti Kasetty