Recent Advances on Soft Computing and Data Mining : The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings /
This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and bu...
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Corporate Authors: | |
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Group Author: | ; ; ; |
Published: |
Springer International Publishing : Imprint: Springer,
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Publisher Address: | Cham : |
Publication Dates: | 2017. |
Literature type: | eBook |
Language: | English |
Series: |
Advances in Intelligent Systems and Computing,
549 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-3-319-51281-5 |
Summary: |
This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th 20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range o |
Carrier Form: | 1 online resource (XXI, 649 pages) : illustrations. |
ISBN: | 9783319512815 |
Index Number: | Q342 |
CLC: | TP18 |
Contents: | Cluster Validation Analysis on Attribute Relative of Soft Set Theory -- Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm -- Optimization of ANFIS using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs -- Forecasting of Malaysian Oil Production and Oil Consumption Using Fuzzy Time Series -- A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site -- Formation Control Optimization for Odor Localization -- A New Search Direction for Broyden s Family Method in Solving Unconstrained Optimization Problems -- Impr |