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AMINING
2003
Springer
245views Data Mining» more  AMINING 2003»
16 years 12 days ago
Spiral Mining Using Attributes from 3D Molecular Structures
Active responses from experts play an essential role in the knowledge discovery of SAR (structure activity relationships) from drug data. Experts often think of hypotheses, and the...
Takashi Okada, Masumi Yamakawa, Hirotaka Niitsuma
IDEAL
2003
Springer
16 years 11 days ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
CORR
2010
Springer
279views Education» more  CORR 2010»
15 years 7 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
16 years 23 days ago
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis
Multivariate time series (MTS) data sets are common in various multimedia, medical and financial application domains. These applications perform several data-analysis operations ...
Kiyoung Yang, Cyrus Shahabi
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 10 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham