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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
12 years 1 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
TKDE
2008
175views more  TKDE 2008»
13 years 10 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng
ICTIR
2009
Springer
14 years 5 months ago
Robust Word Similarity Estimation Using Perturbation Kernels
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
Kevyn Collins-Thompson
CIKM
2009
Springer
14 years 5 months ago
Utilizing inter-passage and inter-document similarities for re-ranking search results
We present a novel language-model-based approach to reranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information ...
Eyal Krikon, Oren Kurland, Michael Bendersky
IJSWIS
2006
108views more  IJSWIS 2006»
13 years 11 months ago
Information Retrieval by Semantic Similarity
Abstract. Semantic Similarity relates to computing the similarity between conceptually similar but not necessarily lexically similar terms. Typically, semantic similarity is comput...
Angelos Hliaoutakis, Giannis Varelas, Epimenidis V...