Big Data optimization: recent developments and challenges:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Cham]
Springer International Publishing
[2016]
|
| Schriftenreihe: | Studies in Big Data
volume 18 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 URL des Erstveröffentlichers Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (xv, 487 p. 182 illus., 160 illus. in color) |
| ISBN: | 9783319302652 |
| DOI: | 10.1007/978-3-319-30265-2 |
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| adam_text | BIG DATA OPTIMIZATION: RECENT DEVELOPMENTS AND CHALLENGES
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
BIG DATA: WHO, WHAT AND WHERE? SOCIAL, COGNITIVE AND JOURNALS MAP OF BIG
DATA PUBLICATIONS WITH FOCUS ON OPTIMIZATION
SETTING UP A BIG DATA PROJECT: CHALLENGES, OPPORTUNITIES, TECHNOLOGIES
AND OPTIMIZATION
OPTIMIZING INTELLIGENT REDUCTION TECHNIQUES FOR BIG DATA
PERFORMANCE TOOLS FOR BIG DATA OPTIMIZATION
OPTIMISING BIG IMAGES
INTERLINKING BIG DATA TO WEB OF DATA
TOPOLOGY, BIG DATA AND OPTIMIZATION
APPLICATIONS OF BIG DATA ANALYTICS TOOLS FOR DATA MANAGEMENT
OPTIMIZING ACCESS POLICIES FOR BIG DATA REPOSITORIES: LATENCY VARIABLES
AND THE GENOME COMMONS
BIG DATA OPTIMIZATION VIA NEXT GENERATION DATA CENTER ARCHITECTURE
BIG DATA OPTIMIZATION WITHIN REAL WORLD MONITORING CONSTRAINTS
SMART SAMPLING AND OPTIMAL DIMENSIONALITY REDUCTION OF BIG DATA USING
COMPRESSED SENSING
OPTIMIZED MANAGEMENT OF BIG DATA PRODUCED IN BRAIN DISORDER
REHABILITATION
BIG DATA OPTIMIZATION IN MARITIME LOGISTICS
BIG NETWORK ANALYTICS BASED ON NONCONVEX OPTIMIZATION
LARGE-SCALE AND BIG OPTIMIZATION BASED ON HADOOP
COMPUTATIONAL APPROACHES IN LARGE–SCALE UNCONSTRAINED OPTIMIZATION
NUMERICAL METHODS FOR LARGE-SCALE NONSMOOTH OPTIMIZATION
METAHEURISTICS FOR CONTINUOUS OPTIMIZATION OF HIGH-DIMENSIONAL PROBLEMS:
STATE OF THE ART AND PERSPECTIVES
CONVERGENT PARALLEL ALGORITHMS FOR BIG DATA OPTIMIZATION PROBLEMS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
BIG DATA OPTIMIZATION: RECENT DEVELOPMENTS AND CHALLENGES
/
: 2016
ABSTRACT / INHALTSTEXT
THE MAIN OBJECTIVE OF THIS BOOK IS TO PROVIDE THE NECESSARY BACKGROUND
TO WORK WITH BIG DATA BY INTRODUCING SOME NOVEL OPTIMIZATION ALGORITHMS
AND CODES CAPABLE OF WORKING IN THE BIG DATA SETTING AS WELL AS
INTRODUCING SOME APPLICATIONS IN BIG DATA OPTIMIZATION FOR BOTH
ACADEMICS AND PRACTITIONERS INTERESTED, AND TO BENEFIT SOCIETY,
INDUSTRY, ACADEMIA, AND GOVERNMENT. PRESENTING APPLICATIONS IN A VARIETY
OF INDUSTRIES, THIS BOOK WILL BE USEFUL FOR THE RESEARCHERS AIMING TO
ANALYSES LARGE SCALE DATA. SEVERAL OPTIMIZATION ALGORITHMS FOR BIG DATA
INCLUDING CONVERGENT PARALLEL ALGORITHMS, LIMITED MEMORY BUNDLE
ALGORITHM, DIAGONAL BUNDLE METHOD, CONVERGENT PARALLEL ALGORITHMS,
NETWORK ANALYTICS, AND MANY MORE HAVE BEEN EXPLORED IN THIS BOOK
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| language | English |
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| series | Studies in Big Data |
| series2 | Studies in Big Data |
| spellingShingle | Big Data optimization: recent developments and challenges Studies in Big Data Engineering Operations research Decision making Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Operation Research/Decision Theory Ingenieurwissenschaften Künstliche Intelligenz |
| title | Big Data optimization: recent developments and challenges |
| title_auth | Big Data optimization: recent developments and challenges |
| title_exact_search | Big Data optimization: recent developments and challenges |
| title_full | Big Data optimization: recent developments and challenges Ali Emrouznejad, editor |
| title_fullStr | Big Data optimization: recent developments and challenges Ali Emrouznejad, editor |
| title_full_unstemmed | Big Data optimization: recent developments and challenges Ali Emrouznejad, editor |
| title_short | Big Data optimization: recent developments and challenges |
| title_sort | big data optimization recent developments and challenges |
| topic | Engineering Operations research Decision making Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Operation Research/Decision Theory Ingenieurwissenschaften Künstliche Intelligenz |
| topic_facet | Engineering Operations research Decision making Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Operation Research/Decision Theory Ingenieurwissenschaften Künstliche Intelligenz |
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