NLU Meghalaya Library

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Data mining and machine learning applications / (Record no. 12861)

MARC details
000 -LEADER
fixed length control field 06278cam a2200697 a 4500
001 - CONTROL NUMBER
control field on1294221123
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240523125543.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr un|---aucuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220130s2022 nju ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Transcribing agency YDX
Modifying agency YDX
-- EBLCP
-- DG1
-- OCLCO
-- OCLCF
-- ORMDA
-- UKAHL
-- NWQ
-- UKMGB
-- OCLCQ
-- CON
-- OCLCO
-- OCLCQ
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC2L1478
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020486083
Source Uk
019 ## -
-- 1294287283
-- 1295278366
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119792529
Qualifying information (electronic bk. : oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119792525
Qualifying information (electronic bk. : oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119792505
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119792509
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119792512
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119792517
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1119791782
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119791782
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119792529
Source of number or code doi
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000070667743
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier UKMGB
System control number 020486083
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000072956736
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1294221123
Canceled/invalid control number (OCoLC)1294287283
-- (OCoLC)1295278366
037 ## - SOURCE OF ACQUISITION
Stock number 9781119791782
Source of stock number/acquisition O'Reilly Media
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/12
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
245 00 - TITLE STATEMENT
Title Data mining and machine learning applications /
Statement of responsibility, etc. edited by Rohit Raja [and more].
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Hoboken, NJ :
Name of publisher, distributor, etc. Wiley ;
Place of publication, distribution, etc. Beverly, MA :
Name of publisher, distributor, etc. Scrivener Publishing,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from PDF title page (John Wiley, viewed February 17, 2022).
520 ## - SUMMARY, ETC.
Summary, etc. Data, the latest currency of today's world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.
505 00 - FORMATTED CONTENTS NOTE
Title Introduction to Data Mining /
Statement of responsibility Santosh R Durugkar, Rohit Raja, Kapil Kumar Nagwanshi, and Sandeep Kumar --
Title Classification and Mining Behavior of Data /
Statement of responsibility Srinivas Konda, Kavitarani Balmuri, and Kishore Kumar Mamidala --
Title A Comparative Overview of Hybrid Recommender Systems: Review, Challenges, and Prospects /
Statement of responsibility Rakhi Seth and Aakanksha Sharaff --
Title Stream Mining: Introduction, Tools & Techniques and Applications /
Statement of responsibility Naresh Kumar Nagwani --
Title Data Mining Tools and Techniques: Clustering Analysis /
Statement of responsibility Rohit Miri, Amit Kumar Dewangan, SR Tandan, and Priya Bhatnagar, Hiral Raja --
Title Data Mining Implementation Process /
Statement of responsibility Kamal K Mehta, Rajesh Tiwari, and Nishant Behar --
Title Predictive Analytics in IT Service Management (ITSM) /
Statement of responsibility Christa IL Sharon and V Suma --
Title Modified Cross-Sell Model for Telecom Service Providers Using Data Mining Techniques /
Statement of responsibility K Ramya Laxmi, Sumit Srivastava, K Madhuravani, S Pallavi, and Omprakash Dewangan --
Title Inductive Learning Including Decision Tree and Rule Induction Learning /
Statement of responsibility Raj Kumar Patra, A Mahendar, and G Madhukar --
Title Data Mining for Cyber-Physical Systems /
Statement of responsibility M Varaprasad Rao, D Anji Reddy, Anusha Ampavathi, and Shaik Munawar --
Title Developing Decision Making and Risk Mitigation: Using CRISP-Data Mining /
Statement of responsibility Vivek Parganiha, Soorya Prakash Shukla, and Lokesh Kumar Sharma --
Title Human-Machine Interaction and Visual Data Mining /
Statement of responsibility Sinha Upasana, Gupta Akanksha, Samera Khan, Shilpa Rani, and Swati Jain --
Title MSDTrA: A Boosting Based-Transfer Learning Approach for Class Imbalanced Skin Lesion Dataset for Melanoma Detection /
Statement of responsibility Lokesh Singh, Rekh Ram Janghe, and Satya Prakash Sahu --
Title New Algorithms and Technologies for Data Mining /
Statement of responsibility Padma Bonde, Latika Pinjarkar, Korhan Cengiz, Aditi Shukla, and Maguluri Sudeep Joel --
Title Classification of EEG Signals for Detection of Epileptic Seizure Using Restricted Boltzmann Machine Classifier /
Statement of responsibility Sudesh Kumar, Rekh Ram Janghel, and Satya Prakash Sahu --
Title An Enhanced Security of Women and Children Using Machine Learning and Data Mining Techniques /
Statement of responsibility Nanda R Wagh and Sanjay R Sutar --
-- Conclusion and Future Direction in Data Mining and Machine Learning /
Title Santosh R Durugkar, Rohit Raja, Kapil Kumar Nagwanshi, and Ramakant Chandrakar.
590 ## - LOCAL NOTE (RLIN)
Local note John Wiley and Sons
Provenance (VM) [OBSOLETE] Wiley Online Library: Complete oBooks
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Exploration de donn�ees (Informatique)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Apprentissage automatique.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
Source of heading or term fast
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Raja, Rohit,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 1119791782
-- 9781119791782
Record control number (OCoLC)1264138582
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792529">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792529</a>
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-- ProQuest Ebook Central
-- EBLB
-- EBL6875444
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