Data mining for service / Katsutoshi Yada, editor.
Contributor(s): Yada, KatsutoshiCall number: 006.312 D232 Material type: BookSeries: Studies in big data ; v. 3Publisher: Heidelberg : Springer, c2014. Description: viii, 291 p. : ill., charts.ISBN: 9783642452512 (pbk.).Subject(s): Big data | Data mining
Data mining for service -- Feature selection over distributed data streams -- Learning hidden Markov models using probabilistic matrix factorization -- Dimensionality reduction for information retrieval using vector replacement of rare terms -- Panel data analysis via variable selection and subject clustering -- A weighted density-based approach for identifying standardized items that are significantly related to the biological literature -- Nonnegative tensor factorization of biomedical literature for analysis of genomic data -- Text mining of business-oriented conversations at a call center -- Scam detection in twitter -- A matrix factorization framework for jointly analyzing multiple nonnegative data sources -- Recommendation systems for web 2.0 marketing -- Handling imbalanced and overlapping classes in smart environments prompting dataset -- Change detection from heterogeneous data sources -- Interesting subset discovery and its application on service processes -- Text document cluster analysis through visualization of 3D projections.