Holdings: Mathematical Problems in Data Science

Mathematical Problems in Data Science: Theoretical and Practical Methods

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Bibliographic Details
Main Authors:	Chen, Li M. (Author), Su, Zhixun (Author), Jiang, Bo (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing 2015
Subjects:	Computer science Computer communication systems Computer science / Mathematics Computers Computer Science Information Systems and Communication Service Computer Communication Networks Mathematics of Computing Informatik Mathematik Cloud Computing Maschinelles Lernen Big Data Data Mining
Online Access:	BTU01 FHA01 FHI01 FHM01 FHN01 FKE01 FLA01 FRO01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (XV, 213 Seiten) 64 illus., 42 illus. in color
ISBN:	9783319251271
DOI:	10.1007/978-3-319-25127-1

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Record in the Search Index

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adam_text	MATHEMATICAL PROBLEMS IN DATA SCIENCE / CHEN, LI M. : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION: DATA SCIENCE AND BIGDATA COMPUTING OVERVIEW OF BASIC METHODS FOR DATA SCIENCE RELATIONSHIP AND CONNECTIVITY OF INCOMPLETE DATA COLLECTION MACHINE LEARNING FOR DATA SCIENCE: MATHEMATICAL OR COMPUTATIONAL IMAGES, VIDEOS, AND BIGDATA TOPOLOGICAL DATA ANALYSIS MONTE CARLO METHODS AND THEIR APPLICATIONS IN BIG DATA ANALYSIS FEATURE EXTRACTION VIA VECTOR BUNDLE LEARNING CURVE INTERPOLATION AND FINANCIAL CURVE CONSTRUCTION ADVANCED METHODS IN VARIATIONAL LEARNING: SEGMENTATION WITH INTENSITY INHOMOGENEITY AN ON-LINE STRATEGY OF GROUPS EVACUATION FROM A CONVEX REGION IN THE PLANE A NEW COMPUTATIONAL MODEL OF BIGDATA DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. MATHEMATICAL PROBLEMS IN DATA SCIENCE / CHEN, LI M. : 2015 ABSTRACT / INHALTSTEXT THIS BOOK DESCRIBES CURRENT PROBLEMS IN DATA SCIENCE AND BIG DATA. KEY TOPICS ARE DATA CLASSIFICATION, GRAPH CUT, THE LAPLACIAN MATRIX, GOOGLE PAGE RANK, EFFICIENT ALGORITHMS, HARDNESS OF PROBLEMS, DIFFERENT TYPES OFBIG DATA, GEOMETRIC DATA STRUCTURES, TOPOLOGICAL DATA PROCESSING, AND VARIOUS LEARNING METHODS. FOR UNSOLVED PROBLEMS SUCH AS INCOMPLETE DATA RELATION AND RECONSTRUCTION, THE BOOK INCLUDES POSSIBLE SOLUTIONS AND BOTH STATISTICAL AND COMPUTATIONAL METHODS FOR DATA ANALYSIS. INITIAL CHAPTERS FOCUS ONEXPLORING THE PROPERTIES OF INCOMPLETE DATA SETS AND PARTIAL-CONNECTEDNESS AMONG DATA POINTS OR DATA SETS. DISCUSSIONS ALSO COVER THE COMPLETION PROBLEM OF NETFLIX MATRIX; MACHINE LEARNING METHOD ON MASSIVE DATA SETS; IMAGE SEGMENTATION AND VIDEO SEARCH. THIS BOOK INTRODUCES SOFTWARE TOOLS FOR DATA SCIENCE AND BIG DATA SUCH MAPREDUCE, HADOOP, AND SPARK. THIS BOOK CONTAINS THREE PARTS. THE FIRST PART EXPLORES THE FUNDAMENTAL TOOLS OF DATA SCIENCE. IT INCLUDES BASIC GRAPH THEORETICAL METHODS, STATISTICAL AND AI METHODS FOR MASSIVE DATA SETS. IN SECOND PART, CHAPTERS FOCUS ON THE PROCEDURAL TREATMENT OF DATA SCIENCE PROBLEMS INCLUDING MACHINE LEARNING METHODS, MATHEMATICAL IMAGE AND VIDEO PROCESSING, TOPOLOGICAL DATA ANALYSIS, AND STATISTICAL METHODS. THE FINAL SECTION PROVIDES CASE STUDIES ON SPECIAL TOPICS IN VARIATIONAL LEARNING, MANIFOLD LEARNING, BUSINESS AND FINANCIAL DATA REC OVERY, GEOMETRIC SEARCH, AND COMPUTING MODELS. MATHEMATICAL PROBLEMS IN DATA SCIENCE IS A VALUABLE RESOURCE FOR RESEARCHERS AND PROFESSIONALS WORKING IN DATA SCIENCE, INFORMATION SYSTEMS AND NETWORKS. ADVANCED-LEVEL STUDENTS STUDYING COMPUTER SCIENCE, ELECTRICAL ENGINEERING AND MATHEMATICS WILL ALSO FIND THE CONTENT HELPFUL DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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author	Chen, Li M. Su, Zhixun Jiang, Bo
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publisher	Springer International Publishing
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spelling	Chen, Li M. Verfasser (DE-588)1032156708 aut Mathematical Problems in Data Science Theoretical and Practical Methods by Li M. Chen, Zhixun Su, Bo Jiang Cham Springer International Publishing 2015 1 Online-Ressource (XV, 213 Seiten) 64 illus., 42 illus. in color txt rdacontent c rdamedia cr rdacarrier Computer science Computer communication systems Computer science / Mathematics Computers Computer Science Information Systems and Communication Service Computer Communication Networks Mathematics of Computing Informatik Mathematik Cloud Computing (DE-588)7623494-0 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Big Data (DE-588)4802620-7 s Data Mining (DE-588)4428654-5 s Maschinelles Lernen (DE-588)4193754-5 s Cloud Computing (DE-588)7623494-0 s DE-604 Su, Zhixun Verfasser aut Jiang, Bo Verfasser aut Erscheint auch als Druckausgabe 978-3-319-25125-7 https://doi.org/10.1007/978-3-319-25127-1 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730175&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730175&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Chen, Li M. Su, Zhixun Jiang, Bo Mathematical Problems in Data Science Theoretical and Practical Methods Computer science Computer communication systems Computer science / Mathematics Computers Computer Science Information Systems and Communication Service Computer Communication Networks Mathematics of Computing Informatik Mathematik Cloud Computing (DE-588)7623494-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd
subject_GND	(DE-588)7623494-0 (DE-588)4193754-5 (DE-588)4802620-7 (DE-588)4428654-5
title	Mathematical Problems in Data Science Theoretical and Practical Methods
title_auth	Mathematical Problems in Data Science Theoretical and Practical Methods
title_exact_search	Mathematical Problems in Data Science Theoretical and Practical Methods
title_full	Mathematical Problems in Data Science Theoretical and Practical Methods by Li M. Chen, Zhixun Su, Bo Jiang
title_fullStr	Mathematical Problems in Data Science Theoretical and Practical Methods by Li M. Chen, Zhixun Su, Bo Jiang
title_full_unstemmed	Mathematical Problems in Data Science Theoretical and Practical Methods by Li M. Chen, Zhixun Su, Bo Jiang
title_short	Mathematical Problems in Data Science
title_sort	mathematical problems in data science theoretical and practical methods
title_sub	Theoretical and Practical Methods
topic	Computer science Computer communication systems Computer science / Mathematics Computers Computer Science Information Systems and Communication Service Computer Communication Networks Mathematics of Computing Informatik Mathematik Cloud Computing (DE-588)7623494-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd
topic_facet	Computer science Computer communication systems Computer science / Mathematics Computers Computer Science Information Systems and Communication Service Computer Communication Networks Mathematics of Computing Informatik Mathematik Cloud Computing Maschinelles Lernen Big Data Data Mining
url	https://doi.org/10.1007/978-3-319-25127-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730175&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028730175&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT chenlim mathematicalproblemsindatasciencetheoreticalandpracticalmethods AT suzhixun mathematicalproblemsindatasciencetheoreticalandpracticalmethods AT jiangbo mathematicalproblemsindatasciencetheoreticalandpracticalmethods

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