Social sciences via network analysis and computation
Regular price
€28.50
analysis
Category=JNF
Category=JPP
Category=KJ
Category=PB
Category=UB
Category=UFL
Category=UYA
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Product details
- ISBN 9783631665220
- Weight: 180g
- Dimensions: 148 x 210mm
- Publication Date: 26 May 2015
- Publisher: Peter Lang AG
- Publication City/Country: CH
- Product Form: Paperback
Secure
checkout
Fast Shipping
Easy returns
In recent years information and communication technologies have gained significant importance in the social sciences. Because there is such rapid growth of knowledge, methods and computer infrastructure, research can now seamlessly connect interdisciplinary fields such as business process management, data processing and mathematics. This study presents some of the latest results, practices and state-of-the-art approaches in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various real-life examples such as the analysis of web sentiments, interconnections of methods for text recognition, text analysis and segmentation, information system management and decision support approaches in marketing.
Tadej Kanduč is a researcher at the Faculty of Information Studies in Novo mesto, Slovenia. His work focuses on discrete and agent based modelling and simulation, optimisation algorithms and parallel programming.
