Data mining : concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections...
Gardado en:
| Auteurs principaux: | , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Cambridge : [Burlington] :
Elsevier ; Morgan Kaufmann
2022.
Paris : Cyberlibris |
| Sujets: | |
| Acceso en liña: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9780128117613.jpg Cyberlibris (ScholarVox) corpus sciences économiques et gestion |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data mining, concepts and techniques, Jiawei Han, Jian Pei, Hanghang Tong, 4th edition, 2023, Cambridge, Elsevier, Morgan Kaufmann, 1 vol. (XXIX-752 p.), 978-0-12-811760-6 |
| LEADER | 03296nam a22002777a 4500 | ||
|---|---|---|---|
| 001 | 1399382 | ||
| 008 | 251113s2022 xxg ||| |||| 00| 0 eng d | ||
| 009 | PPN291841457 | ||
| 020 | |a 9780128117613 | ||
| 041 | 0 | |a eng |f eng | |
| 082 | |a 005.7565 | ||
| 100 | 1 | |a Han, Jiawei, |d 19..- | |
| 245 | 1 | 0 | |a Data mining : |b concepts and techniques |c Jiawei Han, Jian Pei, Hanghang Tong. |
| 260 | |a Cambridge : |b Elsevier ; |a [Burlington] : |b Morgan Kaufmann. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2022. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/300pix/9780128117613.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus sciences économiques et gestion | ||
| 504 | |a Bibliogr. p. 681-734. Index | ||
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining. - Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks - Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data mining methodologie and systems, and data mining and society - Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data - Visit the author-hosted companion site, https://hanj.cs.illinois.edu/bk4/ for downloadable lecture slides and errata | ||
| 650 | |a Exploration de données | ||
| 700 | 1 | |a Pei, Jian, |d 19..- |4 aut | |
| 700 | 1 | |a Tong, Hanghang, |d 19..- |4 aut | |
| 776 | 0 | |0 27172028X |t Data mining |o concepts and techniques |f Jiawei Han, Jian Pei, Hanghang Tong |e 4th edition |d 2023 |c Cambridge |n Elsevier |n Morgan Kaufmann |p 1 vol. (XXIX-752 p.) |z 978-0-12-811760-6 | |
| 856 | 4 | |5 452349901:873758889 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88972905 |z Accès Université d'Orléans et IFPM | |
| 997 | |0 1399382 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/ScholarVox (ebooks)/ | ||