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JMLR
2008
148views more  JMLR 2008»
13 years 8 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
SISAP
2008
IEEE
175views Data Mining» more  SISAP 2008»
14 years 2 months ago
Anytime K-Nearest Neighbor Search for Database Applications
Many contemporary database applications require similarity-based retrieval of complex objects where the only usable knowledge of its domain is determined by a metric distance func...
Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. ...
ICDM
2003
IEEE
160views Data Mining» more  ICDM 2003»
14 years 1 months ago
Indexing and Mining Free Trees
Tree structures are used extensively in domains such as computational biology, pattern recognition, computer networks, and so on. In this paper, we present an indexing technique f...
Yun Chi, Yirong Yang, Richard R. Muntz
VLDB
2004
ACM
99views Database» more  VLDB 2004»
14 years 1 months ago
Query Languages and Data Models for Database Sequences and Data Streams
We study the fundamental limitations of relational algebra (RA) and SQL in supporting sequence and stream queries, and present effective query language and data model enrichments ...
Yan-Nei Law, Haixun Wang, Carlo Zaniolo
CIKM
2008
Springer
13 years 10 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan