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» Temporal granular logic for temporal data mining
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SDM
2010
SIAM
149views Data Mining» more  SDM 2010»
15 years 1 months ago
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
SOCO
2002
Springer
14 years 11 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 6 months ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...
KDD
2009
ACM
223views Data Mining» more  KDD 2009»
16 years 9 days ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
GIS
1999
ACM
15 years 4 months ago
Spatio-Temporal Conceptual Models: Data Structures + Space + Time
Nowadays, many applications need data modeling facilities for the description of complex objects with spatial and/or temporal facilities. Responses to such requirements may be fou...
Christine Parent, Stefano Spaccapietra, Esteban Zi...