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ISNN
2011
Springer
14 years 1 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
KDD
1998
ACM
114views Data Mining» more  KDD 1998»
15 years 2 months ago
Coactive Learning for Distributed Data Mining
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
Dan L. Grecu, Lee A. Becker
WISE
2009
Springer
15 years 7 months ago
Formal Identification of Right-Grained Services for Service-Oriented Modeling
Identifying the right-grained services is important to lead the successful service orientation because it has a direct impact on two major goals: the composability of loosely-coupl...
Yukyong Kim, Kyung-Goo Doh
ICDT
2011
ACM
187views Database» more  ICDT 2011»
14 years 2 months ago
The PADS project: an overview
The goal of the PADS project, which started in 2001, is to make it easier for data analysts to extract useful information from ad hoc data files. This paper does not report new r...
Kathleen Fisher, David Walker
WEBDB
2009
Springer
149views Database» more  WEBDB 2009»
15 years 5 months ago
Extracting Route Directions from Web Pages
Linguists and geographers are more and more interested in route direction documents because they contain interesting motion descriptions and language patterns. A large number of s...
Xiao Zhang, Prasenjit Mitra, Sen Xu, Anuj R. Jaisw...