Advances in Big Data Analytics - Hamid R. Arabnia

Advances in Big Data Analytics

Hamid R. Arabnia (Redaktør) ; Mary Q. Yang (Redaktør) ; George Jandieri (Redaktør) ; James J. Park (Redaktør) ; Ashu M. G. Solo (Redaktør) ; Fernando G. Tinetti (Redaktør)

Includes topics such as: Algorithms for Big Data, Big Data Fundamentals, and Infrastructures for Big Data. Les mer
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Includes topics such as: Algorithms for Big Data, Big Data Fundamentals, and Infrastructures for Big Data.
Forlag: C. S. R. E. A.
Innbinding: Paperback
Språk: Engelsk
ISBN: 9781601322647
Format: 28 x 20 cm

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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
Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.