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» Discovering and Processing Sequential Patterns in Databases
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ICDE
2004
IEEE
116views Database» more  ICDE 2004»
15 years 11 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
VLDB
2005
ACM
122views Database» more  VLDB 2005»
15 years 3 months ago
Streaming Pattern Discovery in Multiple Time-Series
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
Spiros Papadimitriou, Jimeng Sun, Christos Falouts...
DEXA
2008
Springer
137views Database» more  DEXA 2008»
14 years 11 months ago
A Grid-Based Multi-relational Approach to Process Mining
Abstract. Industrial, scientific, and commercial applications use information systems to trace the execution of a business process. Relevant events are registered in massive logs a...
Antonio Turi, Annalisa Appice, Michelangelo Ceci, ...
DEXAW
2005
IEEE
96views Database» more  DEXAW 2005»
15 years 3 months ago
Mining Complex Patterns from Protein Surfaces
In the domain of bioinformatics, the role played in the biological process by proteins, that act as transmitters and receivers of information thus ruling the mechanisms that deter...
Lorenzo Baldacci, Matteo Golfarelli
182
Voted
ICDE
2008
IEEE
301views Database» more  ICDE 2008»
15 years 11 months ago
A Hybrid Prediction Model for Moving Objects
Existing prediction methods in moving objects databases cannot forecast locations accurately if the query time is far away from the current time. Even for near future prediction, m...
Hoyoung Jeung, Qing Liu, Heng Tao Shen, Xiaofang Z...