Coverart for item
The Resource Big data : algorithms, analytics, and applications, edited by Kuan-Ching Li [and 3 oth, (electronic book)

Big data : algorithms, analytics, and applications, edited by Kuan-Ching Li [and 3 oth, (electronic book)

Label
Big data : algorithms, analytics, and applications
Title
Big data
Title remainder
algorithms, analytics, and applications
Statement of responsibility
edited by Kuan-Ching Li [and 3 oth
Creator
Contributor
Subject
Language
eng
Summary
Scalable Indexing for Big Data Processing; Hisham Mohamed and Stephane Marchand-MailletScalability and Cost Evaluation of Incremental Data Processing using Amazon's Hadoop Service; Xing Wu, Yan Liu, and Ian GortonSingular Value Decomposition, Clustering, and Indexing for Similarity Search for Large Data Sets in High-Dimensional Spaces; Alexander ThomasianMultiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms; John TsiligaridisApproaches for High-Performance Big Data Processing: Applications and Challenges;
Member of
Cataloging source
AU-PeEL
http://library.link/vocab/creatorName
Li, Kuan-Ching
Dewey number
005.7
LC call number
QA76.9.D343 -- .B54 2015eb
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Jiang, Hai
  • Yang, Laurence T
http://library.link/vocab/subjectName
  • Big data
  • Database management
  • Data mining
  • Machine theory
Label
Big data : algorithms, analytics, and applications, edited by Kuan-Ching Li [and 3 oth, (electronic book)
Instantiates
Publication
Contents
  • Front Cover -- Contents -- Foreword by Jack Dongarra -- Preface -- Editors -- Contributors -- Chapter 1: Scalable Indexing for Big Data Processing -- Chapter 2: Scalability and Cost Evaluation of Incremental Data Processing Using Amazon's Hadoop Service -- Chapter 3: Singular Value Decomposition, Clustering, and Indexing for Similarity Search for Large Data Sets in High-Dimensional Spaces -- Chapter 4: Multiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms -- Chapter 5: Approaches for High-Performance Big Data Processing : Applications and Challenges
  • Chapter 6: The Art of Scheduling for Big Data Science -- Chapter 7: Time-Space Scheduling in the MapReduce Framework -- Chapter 8: GEMS: Graph Database Engine for Multithreaded Systems -- Chapter 9: KSC-net : Community Detection for Big Data Networks -- Chapter 10: Making Big Data Transparent to the Software Developers' Community -- Chapter 11: Key Technologies for Big Data Stream Computing -- Chapter 12: Streaming Algorithms for Big Data Processing on Multicore Architecture
  • Chapter 13: Organic Streams : A Unified Framework for Personal Big Data Integration and Organization Towards Social Sharing and Individualized Sustainable Use -- Chapter 14: Managing Big Trajectory Data : Online Processing of Positional Streams -- Chapter 15: Personal Data Protection Aspects of Big Data -- Chapter 16: Privacy-Preserving Big Data Management : The Case of OLAP -- Chapter 17: Big Data in Finance -- Chapter 18: Semantic-Based Heterogeneous Multimedia Big Data Retrieval -- Chapter 19: Topic Modeling for Large-Scale Multimedia Analysis and Retrieval
  • Chapter 20: Big Data Biometrics Processing : A Case Study of an Iris Matching Algorithm on Intel Xeon Phi -- Chapter 21: Storing, Managing, and Analyzing Big Satellite Data : Experiences and Lessons Learned from a Real-World Application -- Chapter 22: Barriers to the Adoption of Big Data Applications in the Social Sector -- Back Cover
Control code
PurchEBL1812807
Dimensions
unknown
Extent
1 online resource (478 p.)
Form of item
electronic
Governing access note
There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
Isbn
9781482240559
Isbn Type
(hbk)
Specific material designation
remote
Label
Big data : algorithms, analytics, and applications, edited by Kuan-Ching Li [and 3 oth, (electronic book)
Publication
Contents
  • Front Cover -- Contents -- Foreword by Jack Dongarra -- Preface -- Editors -- Contributors -- Chapter 1: Scalable Indexing for Big Data Processing -- Chapter 2: Scalability and Cost Evaluation of Incremental Data Processing Using Amazon's Hadoop Service -- Chapter 3: Singular Value Decomposition, Clustering, and Indexing for Similarity Search for Large Data Sets in High-Dimensional Spaces -- Chapter 4: Multiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms -- Chapter 5: Approaches for High-Performance Big Data Processing : Applications and Challenges
  • Chapter 6: The Art of Scheduling for Big Data Science -- Chapter 7: Time-Space Scheduling in the MapReduce Framework -- Chapter 8: GEMS: Graph Database Engine for Multithreaded Systems -- Chapter 9: KSC-net : Community Detection for Big Data Networks -- Chapter 10: Making Big Data Transparent to the Software Developers' Community -- Chapter 11: Key Technologies for Big Data Stream Computing -- Chapter 12: Streaming Algorithms for Big Data Processing on Multicore Architecture
  • Chapter 13: Organic Streams : A Unified Framework for Personal Big Data Integration and Organization Towards Social Sharing and Individualized Sustainable Use -- Chapter 14: Managing Big Trajectory Data : Online Processing of Positional Streams -- Chapter 15: Personal Data Protection Aspects of Big Data -- Chapter 16: Privacy-Preserving Big Data Management : The Case of OLAP -- Chapter 17: Big Data in Finance -- Chapter 18: Semantic-Based Heterogeneous Multimedia Big Data Retrieval -- Chapter 19: Topic Modeling for Large-Scale Multimedia Analysis and Retrieval
  • Chapter 20: Big Data Biometrics Processing : A Case Study of an Iris Matching Algorithm on Intel Xeon Phi -- Chapter 21: Storing, Managing, and Analyzing Big Satellite Data : Experiences and Lessons Learned from a Real-World Application -- Chapter 22: Barriers to the Adoption of Big Data Applications in the Social Sector -- Back Cover
Control code
PurchEBL1812807
Dimensions
unknown
Extent
1 online resource (478 p.)
Form of item
electronic
Governing access note
There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
Isbn
9781482240559
Isbn Type
(hbk)
Specific material designation
remote

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