الصفحة 19
الصفحة 19
Advances in web and network technologies, and information management ; APWeb/WAIM 2007 International Workshops : DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Huang Shan, China, June 16-18, 2007, Proceedings
With the increasing ubiquity of personal computing devices, such as mobile phones and PDAs, and the increasing deployment of sensor networks, new distributed applications are developed over networked databases posing interesting challenges. It aimed to bring together researchers in different fields related to database management and application over networks and to provide a forum where researchers and practitioners could share and exchange their knowledge and experience.
Advances in Visual Information Systems ; 9th International Conference, VISUAL 2007 Shanghai, China, June 28-29, 2007 Revised Selected Papers
The visual information systems paradigm continues to evolve, and the unrelenting exponential growth in the amount of digital visual data underlines the escalating importance of how such data are effectively managed and deployed.It covered image and video retrieval, visual biometrics, intelligent visual information processing, visual data mining, ubiquitous and mobile visual information systems, visual semantics, 2D/3D graphical visual data retrieval and applications of visual information systems.
Advances in Swarm Intelligence ; 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings
Constitutes the proceedings of the 11th International Conference on Advances in Swarm Intelligence, ICSI 2020, held in July 2020 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications.
Advances in spatial and temporal databases ; 9th International symposium, SSTD 2005, Angra dos Reis, Brazil, August 22-24, 2005, Proceedings
Constitutes the refereed proceedings of the introduce the papers of the proceedings of the 9th - ternational Symposium on Spatial and Temporal Databases – SSTD 2005. This year’s symposium continues the tradition of being the premier forum for the presentation of research results and experience reports on leading edge issues of spatial and temporal database systems, including data models, systems, applications and theory. ll the needs of novel applications and heterogeneous environments and identify new directions for future research and development. aspects of database systems for managing spatial and temporal data and for supporting their applications. A total of 77 papers were submitted this year from several countries. After a thorough review process, the program committee accepted 24 papers covering a variety of topics, including indexing techniques and query processing, mobile environments and moving objects, and spatial and temporal data streams.
Advances in spatial and temporal databases ; 10th International symposium, SSTD 2007, Boston, MA, USA, July 16.-18, 2007, Proceedings
The book is classified in numerous categories, each corresponding to a conference session. These include continuous monitoring; indexing and query processing; and mining.
Advances in neural networks - ISNN 2008 ; 5th International symposium on neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II
The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008.
Advances in Neural Networks - ISNN 2008 ; 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I
The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008.
Advances in neural networks -- ISNN 2007 ; 4th International symposium on neutral networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part II
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Neural Networks -- ISNN 2007 ; 4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part I
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Neural Networks -- ISNN 2007 ; 4th International symposium on neural networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part III
An eural network is an information processing structure inspired by biological nervous systems, such as the brain. It consists of a large number of highly int- connected processing elements, called neurons. It has the capability of learning from example.
Advances in Natural Computation ; Vol. 4222 ; 2nd International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part II
constitutethe proceedings of the 2nd International Conference on Natural Computation (ICNC 2006), jointly held with the 3rd International Conference on Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2006 featured the most up-to-date research results in com- tational algorithms inspired from nature, including biological, ecological, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide rangeof techniques and methods arebeing studied for dealing with large, complex, and dynamic problems. The joint conferences also promoted cro- fertilization over these exciting and yet closely-related areas, which had a s- nifcant impact on the advancement of these important technologies. Specifc areas included neural computation, quantum computation, evolutionarycom- tation, DNA computation, fuzzy computation, granular computation, artifcial life, etc., with innovative applications to knowledge discovery, fnance, ope- tions research, and more. In addition to the large number of submitted papers, we were blessed with the presence of six renowned keynote speakers.
Advances in Multilingual and Multimodal Information Retrieval ; 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed proceedings of the 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, held in Budapest, Hungary, September 2007.
Advances in Metaheuristics for Hard Optimization
The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.
Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry ; International Conference, MDA 2006/2007, Leipzig, Germany, July 18, 2007, Selected Papers
The automatic analysis of images and signals in medicine, biotechnology, and chemistry is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers, and other sensors have found their way into wide fields of medicine, biotechnology, economy, and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which generate automatically the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analyses on the basis of classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The goals of this: Provide a forum for identifying important contributions and opportunities for research on mass data analysis on microscopic images Promote the systematic study of how to apply automatic image analysis and interpretation procedures to that field Show case applications of mass data analysis in biology, medicine, and chemistry Topics of interest include (but are not limited to): Techniques and developments of signal and image producing procedures Object matching and object tracking in microscopic and video microscopic images 1D, 2D, and 3D shape analysis and description
Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry ; 3rd International Conference, MDA 2008 Leipzig, Germany, July 14, 2008 Proceedings
Presents the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry.
Advances in Machine Learning and Cybernetics ; 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers
Machine learning and cybernetics play an important role in many modern electronic, computer and communications systems. Automated processing of information by these systems requires intelligent analysis of various types of data and optimal decision making. In recent years, we have witnessed a rapid expansion of research and development activities in machine learning and cybernetics. To provide opportunities for researchers in these areas to share their ideas and foster collaborations, the International Conference on Machines and Cybernetics (ICMLC) has been held annually since 2002. The conference series has achieved a great success in attracting a large number of paper submissions and participants and enabling fruitful exchanges among academic and industrial researchers and postgraduate students. In 2005, the conference (ICMLC 2005) received 2461 full paper submissions and the Program Committee selected 1050 of them for presentation. It is especially encouraging that the conference is attracting more and more international attention.
Advances in Learning Classifier Systems ; 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers
The Fourth International Workshop on Learning Classifier Systems (IWLCS2001) was held July 7-8, 2001, in San Francisco, California, during the Geneticand Evolutionary Computation Conference (GECCO 2001). We have includedin this volume revised and extended versions of eleven of the papers presentedat the workshop.The volume is organized into two main parts. The first is dedicated to importanttheoretical issues of learning classifier systems research including the influenceof exploration strategy, a model of self-adaptive classifier systems, and the useof classifier systems for social simulation. The second part contains papers dis-cussing applications of learning classifier systems such as data mining, stocktrading, and power distribution networks.An appendix contains a paper presenting a formal description of ACS, a rapidlyemerging learning classifier system model.
Advances in knowledge discovery and data mining ; Vol. 3918 : 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. This year marks the tenth anniversary of the successful annual series of PAKDD conferences held in the Asia Pacific region. It was with pleasure that we hosted PAKDD 2006 in Singapore again, since the inaugural PAKDD conference was held in Singapore in 1997. PAKDD 2006 continues its tradition of providing an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all aspects of KDD data mining, including data cleaning, data warehousing, data mining techniques, knowledge visualization, and data mining applications.
Advances in knowledge discovery and data mining ; Vol. 3518 ; 9th Pacific-Asia conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings
This book constitutes the refereed proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2005, held in Hanoi, Vietnam, in May 2005. Including Topics Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Multimedia Information Systems Computer Appl. in Administrative Data Processing
Advances in Knowledge Discovery and Data Mining ; 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : Proceedings
Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. In view of this, and following the success of the five previous PAKDD conferences, the sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2002) aimed to provide a forum for the sharing of original research results, innovative ideas, state-of-the-art developments, and implementation experiences in knowledge discovery and data mining among researchers in academic and industrial organizations. Much work went into preparing a program of high quality. We received 128 submissions.
