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» Finding Sequential Patterns from Large Sequence Data
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MPC
1995
Springer
150views Mathematics» more  MPC 1995»
15 years 1 months ago
Architecture Independent Massive Parallelization of Divide-and-Conquer Algorithms
Abstract. We present a strategy to develop, in a functional setting, correct, e cient and portable Divide-and-Conquer (DC) programs for massively parallel architectures. Starting f...
Klaus Achatz, Wolfram Schulte
ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
14 years 7 months ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
APWEB
2006
Springer
15 years 1 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang
84
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
15 years 10 months ago
V-Miner: using enhanced parallel coordinates to mine product design and test data
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
CEC
2007
IEEE
15 years 1 months ago
Evolving hypernetworks for pattern classification
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
Joo-Kyung Kim, Byoung-Tak Zhang