Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	August 2023
Genre:	EDV / Informatik
	Analytics / ArtificialIntelligence / autoencoder / clustering / Data Mining / Data Warehousing / Dataimputation / datamining / DataScience / Decisiontrees / DeepLearning / DimensionalityReduction / ensemblelearning / GenerativeAdversarialNetworks / Informationsrückgewinnung, Information Retrieval / knowledgediscovery / machinelearning / Maschinelles Lernen / neuralnetworks / privacypreserving / RecommenderSystem / Textmining / Webmining mehr...
ISBN:	9783031246272
EAN-Code:	9783031246272
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 59 mm
Gewicht:	1634 gr
Seiten:	996
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and novel methods. The volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level computer science and engineering students. It is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.