... extracted basic features from idea, comment and user information and added further features obtained from sentiment analysis on ideas and comments. Those features are used to develop classification models to identify potential idea launchers, using data mining techniques such as artificial neural network...

... of prediction results of collaborative and CBF. The meta-level model employs a sequential combination of collaborative and CBF, where the output generated by CBF is used as the input of CF. © Emerald Group Publishing Limited 2014 Data mining Recommendation system Social bookmarking Content-based...

..., frightening work to read. Hsinchun   Chen . Dark Web: Exploring and Data Mining the Dark Side of the Web . New York, NY : Springer Science+Business Media   2012 . 451 pp.   €140.00 hard cover , ISBN: 9781461415565 Integrated Series in Information Systems, Vol. 30 © Emerald Group...

... --> Open source software Agile development FLOSS Data mining Programming This edited book begins with a preface by the editor, which reviews literature about open source software (OSS) project effort and efficiency, noting that the most common technique involves mining data from source code...

...Surithong Srisa‐ard Soumen   Chakrabarti . Mining the Web: Discovering Knowledge from Hypertext Data . San Francisco, CA : Morgan Kaufman   2003 . 344 pp. , ISBN: 1558607544   US$36.95 (hard cover) © MCB UP Limited 2003 --> World Wide Web Data mining...

... of the literature recommendation system, shown as Figure 1 , consists of two basic subsystems, offline and online: Digital libraries Recommendations Web sites Cluster analysis Data mining This is a fascinating period in the history of libraries and publishing. For the first time...