Next Generation of Data Mining

Regular price €78.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
advanced scientific data analysis
Candidate Itemsets
Category=UNF
computational infrastructure
cyber-enabled discovery
Data Mining
Data Mining Algorithms
Data Mining Tasks
Data Sets
Data Stream Mining
Distributed Data Mining
Emergent Behavior
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Familiar Strangers
Frequent Itemsets
Gene Ontology
high performance computing
IDD
interdisciplinary analytics
KDD Process
Knowledge Grid
Minimum Frequency Threshold
P2P Networks
Pcap Files
privacy policy frameworks
Privacy Preserving Data Mining
semantic web applications
Sensitive Information
Sensor Networks
SNOMED CT
Spatiotemporal Data Mining
Suffix Tree
User Nodes
User Profile

Product details

  • ISBN 9780367386054
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 07 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.

Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms.

The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.

Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar