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Advances in Big Data Analytics: Proceedings If the 2014 International Conference on Advances in Big Data Analytics(The 2014 WorldComp International Conference Proceedings)

Advances in Big Data Analytics: Proceedings If the 2014 International Conference on Advances in Big Data Analytics(The 2014 WorldComp International Conference Proceedings)

          
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About the Book

Advances in Big Data Analytics is a compendium of articles and papers that were presented at ABDA '14, an international conference that serves researchers, scholars, professionals, students, and academicians.

Selected Topics include:

  • Applications of Big Data + Software Tools
  • Algorithms for Big Data
  • Big Data Management and Frameworks
  • Big Data Search and Mining Methods
  • Security and Privacy in the Era of Big Data and Risk Analysis
  • Late Breaking Papers and Position Papers: Big Data Analytics and Related Issues


Table of Contents:
  • Session: Applications of Big Data + Software Tools
  • 1) Application-Agnostic Streaming Bayesian Inference via Apache Storm
  • 2) Multicore Construction of k-d Trees for High Dimensional Point Data
  • 3) Design and Implementation of a Cloud-Based Big Data Programming Service
  • 4) ARIANA: Adaptive Robust and Integrative Analysis for finding Novel Associations
  • 5) A Software Toolkit for Stock Data Analysis Using Social Network Analysis Approach
  • 6) A Visual Decision-Guided Analytics Tool for Finding the Viable Shortest Path over Geospatiotemporal Data
  • 7) Using Influence for Navigation in Online Social Networks
  • 8) Sentiment Analysis for Mobile SNS Data
  • 9) E-commerce Evolution based on the Perspective of Network Effects: A Multi-case Study in China
  • 10) Estimating the Visit and Content Association of Websites with their Weblogs
  • Session: Algorithms for Big Data
  • 1) Noise Benefits in Convolutional Neural Networks
  • 2) On Walsh-Fourier Bispectral Analysis
  • 3) Reasearch of Decision Tree on YARN Using MapReduce and Spark
  • 4) Kernel Approach to Incomplete Data Analysis (KAIDA
  • 5) On the usage of Sorting Networks to Big Data
  • 6) Client Based Power Iteration Clustering Algorithm to Reduce Dimensionality in Big Data
  • Session: Big Data Management and Frameworks
  • 1) Real-Time Data/Information Storage and Retrieval in Autonomous AI Systems
  • 2) Transparency and Efficiency in Grid Computing for Big Data
  • 3) Integration of Big Data Components for NoSQL Problems
  • 4) Comparison and Review of Memory Allocation and File Access Techniques and Techniques preferred for Distributed Systems
  • Session: Big Data Search and Mining Methods
  • 1) Decomposition of Inverted Lists and Word Labeling: A New Index Structure for Text Search
  • 2) MPGM: A Mixed Parallel Big Graph Mining Tool
  • 3) Spatial Association Mining of Focal Events in Cloud Computing
  • 4) Spectrum Recognition in Large-Scale Cognitive Radio Networks With Spectral Data Mining
  • Session: Security and Privacy in the Era of Big Data and Risk Analysis
  • 1) Some Risk Measures and Their Applications in Financial Data Analysis
  • 2) The Use of Fully Homomorphic Encryption in Data Mining with Privacy Preserving
  • 3) Secure Outsourcing Multiparty Computation on Lattice-based Encrypted Cloud Data under Multiple Keys
  • Session: Late Breaking Papers and Position Papers: Big Data Analytics and Related Issues
  • 1) Querying Clusters of Biological Sequences
  • 2) MapReduce-Accelerated Framework for Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs
  • 3) Lessons Learned: Building a Big Data Research and Education Infrastructure
  • 4) Big Data System Design for Digital Library Middleware
  • 5) Finding Critical Samples for Mining Big Data
  • 6) Semantic Indexing of Big Data Using a Hierarchical, Multidimensional Scheme
  • 7) Social Event Radar (SERv2.0): Efficient Dynamic Adjustment Mechanism of Distributed Web Crawlers in Social Networks
  • 8) Finding Local and Periodic Association Rules from Fuzzy Temporal Data
  • 9) Exploring Big-data Analysis using Integrative Systems Biology Approaches for Kidney Renal Clear Cell Carcinoma Studies
  • 10) Exploring and Analyzing Big Data Processing Technology Based on the EMU
  • 11) Big Data Architecture for Large-scale Scientific Computing
  • 12) Graph Database for Agent Based Emergency Response Model
  • 13) Blur Detection For Video Streams In The Compressed Domain


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Product Details
  • ISBN-13: 9781601322647
  • Publisher: C. S. R. E. A.
  • Publisher Imprint: C. S. R. E. A.
  • Depth: 19
  • Language: English
  • Returnable: N
  • Spine Width: 20 mm
  • Weight: 703 gr
  • ISBN-10: 160132264X
  • Publisher Date: 04 Feb 2015
  • Binding: Paperback
  • Height: 279 mm
  • No of Pages: 280
  • Series Title: The 2014 WorldComp International Conference Proceedings
  • Sub Title: Proceedings If the 2014 International Conference on Advances in Big Data Analytics
  • Width: 203 mm


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