Recent Advances on Soft Computing and Data Mining (Record no. 77693)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04556nam a22005655i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-51281-5 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801215628.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 161228s2017 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319512815 |
| -- | 978-3-319-51281-5 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | Recent Advances on Soft Computing and Data Mining |
| Sub Title | The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXI, 649 p. 215 illus., 117 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in Intelligent Systems and Computing, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 -- Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task -- Artificial Neural Network with Hyperbolic Tangent Activation Function to Improve the Accuracy of COCOMO II Model -- A study of data imputation using Fuzzy C-Means with Particle Swarm Optimization. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Herawan, Tutut. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Ghazali, Rozaida. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Nawi, Nazri Mohd. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Deris, Mustafa Mat. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-51281-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2017. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2194-5365 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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