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| Author | : Hassanien, Aboul Ella |
| Publisher | : IGI Global |
| Total Pages | : 314 |
| Release | : 2007-08-31 |
| Genre | : Business & Economics |
| ISBN | : 1599045540 |
Covers key rough computing research, surveying a full range of topics and examining defining issues of the field.
| Author | : Rivero, Laura C. |
| Publisher | : IGI Global |
| Total Pages | : 784 |
| Release | : 2005-06-30 |
| Genre | : Education |
| ISBN | : 1591407958 |
"Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.
| Author | : Ajith Abraham |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 330 |
| Release | : 2009-02-26 |
| Genre | : Computers |
| ISBN | : 3540899200 |
Part 1 of this book deals with theoretical contributions of rough set theory, and parts 2 and 3 focus on several real world data mining applications. The book thoroughly explores recent results in rough set research.
| Author | : Aboul Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 648 |
| Release | : 2020-12-14 |
| Genre | : Computers |
| ISBN | : 303059338X |
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
| Author | : Wang, John |
| Publisher | : IGI Global |
| Total Pages | : 4092 |
| Release | : 2008-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 159904952X |
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.
| Author | : Ling Xin |
| Publisher | : Infinite Study |
| Total Pages | : 10 |
| Release | : |
| Genre | : Mathematics |
| ISBN | : |
The computing with Words (CW) is a well known soft computing method to find the solutions of many decision making problems in real life scenarios which consists of selective information used in natural language.
| Author | : Chien-Chung Chan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 544 |
| Release | : 2008-10-07 |
| Genre | : Computers |
| ISBN | : 3540884238 |
The articles in this volume were selected for presentation at the Sixth Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), which took place on October 23–25 in Akron, Ohio, USA. The conference is a premier event for researchersand industrial professionals interested in the theory and applications of rough sets and related methodo- gies. Since its introduction over 25 years ago by Zdzislaw Pawlak, the theory of rough sets has grown internationally and matured, leading to novel applications and theoretical works in areas such as data mining and knowledge discovery, machine learning, neural nets, granular and soft computing, Web intelligence, pattern recognition and control. The proceedings of the conferences in this - ries, as well as in Rough Sets and Knowledge Technology (RSKT), and the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC) series report a variety of innovative applications of rough set theory and of its extensions. Since its inception, the mathematical rough set theory was closely connected to application ?elds of computer science and to other areas, such as medicine, which provided additional motivation for its further development and tested its real-life value. Consequently, rough set conferences emphasize the - teractionsandinterconnectionswith relatedresearchareas,providingforumsfor exchanging ideas and mutual learning. The latter aspect is particularly imp- tant since the development of rough set-related applications usually requires a combination of often diverse expertise in rough sets and an application ?eld.
| Author | : De-Shuang Huang |
| Publisher | : Springer |
| Total Pages | : 1277 |
| Release | : 2008-09-08 |
| Genre | : Computers |
| ISBN | : 3540859845 |
The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
| Author | : Yanchun Zhang |
| Publisher | : Springer |
| Total Pages | : 321 |
| Release | : 2010-11-25 |
| Genre | : Computers |
| ISBN | : 3642176224 |
Welcome to the proceedings of the 2010 International Conferences on Database Theory and Application (DTA 2010), and Bio-Science and Bio-Technology (BSBT 2010) – two of the partnering events of the Second International Mega- Conference on Future Generation Information Technology (FGIT 2010). DTA and BSBT bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of databases, data mining and biomedicine, including their links to computational sciences, mathematics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which includes 175 papers submitted to DTA/BSBT 2010. The submitted papers went through a rigorous reviewing process: 395 of the 1,630 papers were accepted for FGIT 2010, while 40 papers were accepted for DTA/BSBT 2010. Of the 40 papers 6 were selected for the special FGIT 2010 volume published by Springer in the LNCS series. 31 papers are published in this volume, and 3 papers were withdrawn due to technical reasons. We would like to acknowledge the great effort of the DTA/BSBT 2010 International Advisory Boards and members of the International Program Committees, as well as all the organizations and individuals who supported the idea of publishing this volume of proceedings, including SERSC and Springer. Also, the success of these two conferences would not have been possible without the huge support from our sponsors and the work of the Chairs and Organizing Committee.
| Author | : Sankar Kumar Pal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 741 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642188591 |
Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others. It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.
