Items where Division is "E-Book > Ilmu_Komputer > Data_Mining" and Year is 2017
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Bramer, Max (2017) Principles of Data Mining Third Edition. by Springer Nature. ISBN 978-1-4471-7307-6
Cerquitelli, Tania and Quercia, Daniele and Pasquale, Frank (2017) Transparent Data Mining for Big and Small Data. by Springer Nature. ISBN 978-3-319-54024-5
Cerquitelli, Tania and Quercia, Daniele and Pasquale, Frank (2017) Transparent Data Mining for Big and Small Data. by Springer Nature. ISBN 978-3-319-54024-5
Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome (2017) The Elements of Statistical Learning Data Mining, Inference, and Prediction. UNSPECIFIED.
Hońko, Piotr (2017) Granular-Relational Data Mining How to Mine Relational Data in the Paradigm of Granular Computing? by Springer Nature. ISBN 978-3-319-52751-2
Mailund, Thomas (2017) Beginning Data Science in R. UNSPECIFIED. ISBN 978-1-4842-2671-1
Poyias, Andreas (2017) Engineering compact dynamic data structures and in-memory data mining. University of Leicester.
Ratner, Bruce (2017) Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data Third Edition. by Taylor & Francis Group, LLC. ISBN 978-1-4987-9760-3
Ratner, Bruce (2017) Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data Third Edition. by Taylor & Francis Group, LLC. ISBN 9781498797603
Silge, Julia and Robinson, David (2017) Text Mining with R A Tidy Approach. ulia Silge, David Robinson. ISBN 978-1-491-98165-8
Silge, Julia and Robinson, David (2017) Text Mining with R A Tidy Approach. O'REILLY. ISBN 978-1-491-98165-8
Zhang, Arthur (2017) Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life. UNSPECIFIED.