Intelligent Information Processing IX - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Information Processing IX write by Zhongzhi Shi. This book was released on 2018-10-10. Intelligent Information Processing IX available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 10th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2018, held in Nanning, China, in October 2018. The 37 full papers and 8 short papers presented were carefully reviewed and selected from 80 submissions. They are organized in topical sections on machine learning, deep learning, multi-agent systems, neural computing and swarm intelligence, natural language processing, recommendation systems, social computing, business intelligence and security, pattern recognition, and image understanding.
Intelligent Information Processing II
Intelligent Information Processing II - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Information Processing II write by Qing He. This book was released on 2006-01-20. Intelligent Information Processing II available in PDF, EPUB and Kindle. Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.
LINGUISTIC VALUES BASED INTELLIGENT INFORMATION PROCESSING
LINGUISTIC VALUES BASED INTELLIGENT INFORMATION PROCESSING - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook LINGUISTIC VALUES BASED INTELLIGENT INFORMATION PROCESSING write by Pei Zheng. This book was released on 2010-01-01. LINGUISTIC VALUES BASED INTELLIGENT INFORMATION PROCESSING available in PDF, EPUB and Kindle. Humans employ mostly natural languages in describing and representing problems, c- puting and reasoning, arriving at ?nal conclusions described similarly as words in a natural language or as the form of mental perceptions. To make machines imitate humans’ mental activities, the key point in terms of machine intelligence is to process uncertain information by means of natural languages with vague and imprecise concepts. Zadeh (1996a) proposed a concept of Computing with Words (CWW) to model and c- pute with linguistic descriptions that are propositions drawn from a natural language. CWW, followed the concept of linguistic variables (Zadeh, 1975a,b) and fuzzy sets (Zadeh, 1965), has been developed intensively and opened several new vast research ?elds as well as applied in various areas, particularly in the area of arti?cial intelligence. Zadeh (1997, 2005) emphasized that the core conceptions in CWW are linguistic variables and fuzzy logic (or approximate reasoning). In a linguistic variable, each linguistic value is explained by a fuzzy set (also called semantics of the linguistic value), its membership function is de?ned on the universe of discourse of the linguistic variable. By fuzzy sets, linguistic information or statements are quanti?ed by membership functions, and infor- tion propagation is performed by approximate reasoning. The use of linguistic variables implies processes of CWW such as their fusion, aggregation, and comparison. Different computational approaches in the literature addressed those processes (Wang, 2001; Zadeh and Kacprzyk, 1999a, b). Membership functions are generally at the core of many fuzzy-set theories based CWW.
Intelligent Information Processing
Intelligent Information Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Information Processing write by Mark Musen. This book was released on 2012-12-06. Intelligent Information Processing available in PDF, EPUB and Kindle. Intelligent Information Processing presents new research with special emphasis on knowledge-based system architecture and intelligent information management. The following topics are addressed: -Agent-based Computing; -Semantic Web and Learning; -Ontology Management; -Semantic Web Architecture; -Knowledge-engineering Frameworks; -Knowledge-system Structure; -Data Mining; -Methods and Tools for Identifying Communities of Practice; and -Implementing Problem Solvers.
Intelligent Information Processing IX
Intelligent Information Processing IX - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Information Processing IX write by Zhongzhi Shi. This book was released on 2018. Intelligent Information Processing IX available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 10th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2018, held in Nanning, China, in October 2018. The 37 full papers and 8 short papers presented were carefully reviewed and selected from 80 submissions. They are organized in topical sections on machine learning, deep learning, multi-agent systems, neural computing and swarm intelligence, natural language processing, recommendation systems, social computing, business intelligence and security, pattern recognition, and image understanding.
