Mathematical Problems in Data Science (Record no. 52439)

000 -LEADER
fixed length control field 04122nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-319-25127-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420221248.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151215s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319251271
-- 978-3-319-25127-1
082 04 - CLASSIFICATION NUMBER
Call Number 005.7
100 1# - AUTHOR NAME
Author Chen, Li M.
245 10 - TITLE STATEMENT
Title Mathematical Problems in Data Science
Sub Title Theoretical and Practical Methods /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 213 p. 64 illus., 42 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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 of big 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 on exploring 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Mathematics.
700 1# - AUTHOR 2
Author 2 Su, Zhixun.
700 1# - AUTHOR 2
Author 2 Jiang, Bo.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-25127-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- text
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
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-- Computer communication systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science
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-- Computers.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Systems and Communication Service.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics of Computing.
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-- ZDB-2-SCS

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