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180901 ||| eng |
| 020 |
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|a 9789811076411
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| 100 |
1 |
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|a Mishra, Durgesh Kumar
|e [editor]
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| 245 |
0 |
0 |
|a Data Science and Big Data Analytics
|h Elektronische Ressource
|b ACM-WIR 2018
|c edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal
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| 260 |
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|a Singapore
|b Springer Singapore
|c 2019, 2019
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| 300 |
|
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|a XXIV, 406 p. 152 illus., 95 illus. in color
|b online resource
|
| 505 |
0 |
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|a A Systematic Review -- Predictive Models for Recommanding Restaurent System by users own Preference -- Security Assessment of SAODV Protocols in Mobile Adhoc Networks -- Attack Detection and its Analysis in DTN Mobile Ad-hoc network -- Secure Sum Computation using Homomorphic Encryption --
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| 505 |
0 |
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|a Traffic Analysis in Location Base Routing System in MANET -- Automated Workload management using machine learning -- A survey on Link Recovery in Wireless Mesh Network using resilience scheme -- Multi User Detection in Wireless Networks Using Decision Feedback Signal Cancellation -- ANN Based Predictive State Modelling of Finite State Machines -- Deep dive exploration of mixed reality in the world of Big Data
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| 505 |
0 |
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|a An exploratory review -- NeuroFeedback Guided Learning Style Adaptability Derived from EEG Sensors -- Monitoring Public Participation in Multi-Lateral Initiatives using Social Media Intelligence -- An efficient Context-aware Music Recommendation based on Emotion and Time Context -- Locating and Detecting Nipple for Pornographic Image Identification.-Implementation of Improved Energy Efficient FIR Filter using Reversible Logic -- A Study on benefits of Big data for healthcare sector of India -- Handling Uncertainty in Linguistics using Probability Theory -- Review of Quality of Service based Techniques in Cloud Computing -- Skyline Computation for Big Data -- Available Energy Aware Multipath Routing For Reliable Service Discovery in MANET --
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| 505 |
0 |
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|a An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care -- An Effective TCP’s Congestion Control Approach for Cross Layer Design in MANET -- A Study on Applying Agile Methodology to Manufacturing Industry Cloud Applications -- Baron-Cohen Model based Personality Classification using Ensemble Learning -- Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs -- Review on Internet Traffic Sharing using Markov Chain Model in Computer Network -- Protein Sequence of Dengue Virus Classification and Secondary Structure Prediction using Random Forest Classifier --
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| 505 |
0 |
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|a A survey -- Prediction of Cervical Cancer based on the life style, habits and diseases using Regression Analysis framework -- Novel outlier detection by integration of clustering and classification -- A Study on Benefits of Big Data for Retail Industry -- Protection of User Information by using Modified Data Copy Technique in Data Mining -- Performance Analysis of Traffic at Intersection using Direction Based Clustering in VANET --
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| 653 |
|
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|a Big data
|
| 653 |
|
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|a Engineering
|
| 653 |
|
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|a Systems and Data Security
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| 653 |
|
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|a Data mining
|
| 653 |
|
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|a Computational Intelligence
|
| 653 |
|
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|a Big Data
|
| 653 |
|
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|a Data protection
|
| 653 |
|
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|a Data Mining and Knowledge Discovery
|
| 700 |
1 |
|
|a Yang, Xin-She
|e [editor]
|
| 700 |
1 |
|
|a Unal, Aynur
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Lecture Notes on Data Engineering and Communications Technologies
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-10-7641-1?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 006.3
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| 520 |
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|a This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence
|