Data mining and machine learning applications / (Record no. 12861)
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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 |
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-- | 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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938 ## - | |
-- | ProQuest Ebook Central |
-- | EBLB |
-- | EBL6875444 |
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