Discusses new models applied in big data analytics
Examines the different business interests in the field of big data analytics from the perspective of decision makers
Evaluates the role of big data analytics in understanding customer needs in various organizations

Discusses new models applied in big data analytics Examines the different business interests in the field of big data analytics from the perspective of decision makers Evaluates the role of big data analytics in understanding customer needs in various organizations Includes supplementary material: sn.pub/extras

Autorentext
From 1981 to 88, Dr. Vijay B. Aggarwal was the Founder Head, Department of Computer Science, University of Delhi, India, where he introduced the 3-Year postgraduate (PG) Programme, Master of Computer Applications (MCA), from 1982 to 1985. In 1973, he was awarded his Ph.D. by the University of Illinois, Urbana, USA. He continued his research work in the areas of Super Computers and Array Processors. In the USA, he taught for seven years as a faculty member at three universities. As a life member of the Computer Society of India (CSI), he has held various offices at the Delhi Chapter, including chapter vice-chairman and chairman, since 1979. In February 2014, he received the prestigious Chapter Patron Award 2013 for Delhi Chapter by the CSI awards committee. Dr. Aggarwal has authored more than 18 Computer Publications, which are very popular among school students.Prof. Vasudha Bhatnagar is a Professor at the Department of Computer Science, University of Delhi, India. She is actively involved in research in the field of Knowledge Discovery and Data Mining (KDD). Her broad area of interest is Intelligent Data Analysis. She is particularly interested in developing process models for Knowledge Discovery in Databases and data mining algorithms. Her further interests include problems pertaining to modelling of changes in discovered knowledge in evolving (streaming) data sets, handling user subjectivity in KDD, projected clustering, outlier detection, classification and cluster ensembles. She is currently studying graphs as tool for modelling biology problems and texts.Dr. Durgesh Kumar Mishra is a Professor (CSE) and Director of the Microsoft Innovation Centre at Shri Aurobindo Institute of Technology, Indore, India. He has 24 years of teaching and research experience and has published over 100 research papers. He is a Senior Member of IEEE and Chairman, Computer Society of India (CSI) Division IV. He has held positions including Chairman, IEEE MP-Subsection and Chairman, IEEE Computer Society, Bombay Chapter. He has delivered invited talks at IEEE International conferences and serves on the Editorial Board of many national and international refereed journals. He is also a Member of the Bureau of Indian Standards (BIS), Government of India.

Klappentext

Discusses new models applied in big data analytics Examines the different business interests in the field of big data analytics from the perspective of decision makers Evaluates the role of big data analytics in understanding customer needs in various organizations

Zusammenfassung
Discusses new models applied in big data analytics
Examines the different business interests in the field of big data analytics from the perspective of decision makers
Evaluates the role of big data analytics in understanding customer needs in various organizations

Inhalt
Title of the Papers along with the Name of the Authors.- Need for Developing Intelligent Interfaces for Big Data Analytics in the Micro Finance Industry.- Unified Resource Descriptor over KAAS Framework Refining Cloud Dynamics.- An Adoptable and Secure Intelligent Smart Card Framework for Internet of Things and Cloud Computing.- A Framework for Ontology Learning from Taxonomic Data.- Leveraging Map-Reduce with Column Oriented Stores: Study of Solutions and Benefits.- Hadoop: Solution to Unstructured Data Handling.- Task Based Load Balancing Algorithm by Efficient Utilization of VMs in Cloud Computing.- A Load Balancing Algorithm Based on Processing Capacities of VMs in Cloud Computing.- Package Based Approach for Load Balancing in Cloud Computing.- Workload Prediction of e-Business Websites on Cloud Using Different Methods of ANN.- Data Security in Cloud Based Analytics.- Ontology Based Ranking in Search Engine.- Hidden Data extraction Using URL Templates Processing.- Automatic Generation of Ontology for Extracting Hidden Web Pages.- Importance of SLA in Cloud Computing.- A Survey on Cloud Computing.- Adapting & Reducing Cost in Cloud Paradigm (ARCCP).- Power Aware Based Workflow Model of Grid Computing Using Ant Based Heuristic Approach.- Image Categorization Using Improved Data Mining Technique.- An Effective Hybrid Encryption Algorithm for Ensuring Cloud Data Security.- Big Data Analytics: Recent and Emerging Application in Services Industry.- An Analysis of Resource Aware Adaptive Scheduling for HPC Clusters with Hadoop.- Analytical and Perspective Approach of Big Data in Cloud Computing.- Implementation of CouchDB Views.- Evolution of FOAF and SIOC in Semantic Web: A Survey.- Classification of e-Commerce Products Using Rep-Tree And K-Mean Hybrid Approach.- A Study of Factors Affecting MapReduce Scheduling.- Outlier Detection in Agriculture Domain: Application and Techniques.- A Framework for Twitter Data Analysis.- Web Structure Mining Algorithms: A Survey.- Big Data Analytics via IoT with Cloud Service.- A Proposed Contextual Model for Big Data Analysis Using Advanced Analytics.- Ranked Search over Encrypted Cloud Data in Azure Using Secure kNN.- DCI3 Model for Privacy Preserving in Big Data.- Study of Sentiment Analysis Using Hadoop.- OPTIMA(OPinionated Tweet Implied Mining and Analysis) - An Innovative Tool to Automate Sentiment Analysis.- Mobile Agent Based MapReduce Framework for Big Data Processing.- Review of Parallel Apriori Algorithm on Map Reduce Framework for Performance Enhancement.- A Novel Approach to Realize Internet of Intelligent Things.- An Innovative Approach of Web Page Ranking Using Hadoop and MapReduce Based Cloud Framework.- SAASQUAL: A Quality Model for Evaluating SaaS on the Cloud Computing Environment.- Scalable Aspect Based Summarization in the Hadoop Environment.- Parallel Mining of Frequent Itemsets from Memory Mapped Files.- Handling Smurfing Through Big Data.- A Novel Approach for Semantic Prefetching Using Semantic Information and Semantic Association.- Optimized Cost Model with Optimal Resource Usage for Cloud.- Understanding Live Migration Techniques Intended for Resource Interference Minimization in Virtualized Cloud Environment.- Cloud Security Issues and Challenges.- A Novel Approach to Protect Cloud Environments Against DDOS Attacks.- An Approach for Workflow Scheduling in Cloud Using ACO.- Data Type Identification and Extension Validator Framework Model for Public Cloud Storage.- Robust Fuzzy Neuro System for Big Data Analytics.- Deployment of Cloud Using Open Source Virtualization: Study of VM Migration Methods and Benefits.- Implementation of Category-wise Focused Web Crawler.- MAYA: An Approach for Energy and Cost Optimization for Mobile Cloud Computing Environments.- Load Balancing in Cloud A Systematic Review.- Cloud-Based Big Data Analytics A Survey of Current Research and Future Directions.- Fully Homomorphic Encryption Scheme with Probabilistic Encryption Based on Euler'sTheorem and Application in Cloud Computing.- Big Data: Issues, Challenges and Techniques in Business Intelligence.- Cloud Computing in Bioinformatics and Big Data Analytics: Current Status and Future Research.- Generalized Query Processing Mechanism in CDBMS.- Deliberative Study of Security Issues in Cloud Computing.- Green Cloud Computing: An Overview.- Literature Review of QoS with Load Balancing in Cloud Computing Environment.- WAMLB: Weighted Active Monitoring Load Balancing in Cloud…