عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
978-981-10-8568-0
(Number (ISBN
978-981-10-8569-7 (eBook)
NATIONAL BIBLIOGRAPHY NUMBER
Number
3803
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Advances in Machine Learning and Data Science: Recent Achievements and Research Directives
General Material Designation
[electronic resources]
First Statement of Responsibility
/ Edited by Damodar Reddy Edla, Pawan Lingras, Venkatanareshbabu K.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore
Name of Publisher, Distributor, etc.
: Springer
Date of Publication, Distribution, etc.
, 2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xii, 380 pages.
Other Physical Details
: illustrations (chiefly color), tables.
SERIES
Series Title
Advances in intelligent systems and computing, 705.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
The Volume of "Advances in Machine Learning and Data Science - Recent Achievements and Research Directives" constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.
TOPICAL NAME USED AS SUBJECT
Entry Element
Machine learning -- Congresses.
Entry Element
COMPUTERS / Database Management / Data Mining.
Entry Element
دادهکاوی
Entry Element
Data mining
Entry Element
Big data.
a05
a05
UNCONTROLLED SUBJECT TERMS
Subject Term
Big data.
Subject Term
Machine Learning.
Subject Term
Data Science.
Subject Term
Data structuring.
Subject Term
Data clustering.
Subject Term
Data and graph processing.
Subject Term
Pattern recognition.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Relator Code
Editor
Relator Code
Editor
Relator Code
Editor
Reddy, Damodar,
Lingras, Pawan,
Kuppili, Venkatanareshbabu,
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
Entry Element
International Conference on Latest Advances in Machine Learning and Data Science (1st : 2017 : Goa, India).
ORIGINATING SOURCE
Country
ایران
Agency
Central Library of the Kurdistan University
Date of Transaction
20180215101246.0
Cataloguing Rules (Descriptive Conventions))
rda
e
BL
280328
a
Y
