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Author: Richard E. Ladner
Publisher: SIAM
Published: 2003-01-01
Total Pages: 162
ISBN-13: 9780898715422
DOWNLOAD EBOOKThe ALENEX workshop provides a forum for the presentation of original research in the implementation and experimental evaluation of algorithms and data structures. This volume collects extended versions of the 12 papers that were selected for presentation.
Author: Rajeev Raman
Publisher: SIAM
Published: 2006-01-01
Total Pages: 298
ISBN-13: 9780898716108
DOWNLOAD EBOOKThe annual Workshop on Algorithm Engineering and Experiments (ALENEX) provides a forum for the presentation of original research in all aspects of algorithm engineering, including the implementation and experimental evaluation of algorithms and data structures. The workshop was sponsored by SIAM, the Society for Industrial and Applied Mathematics, and SIGACT, the ACM Special Interest Group on Algorithms and Computation Theory. The aim of ANALCO is to provide a forum for the presentation of original research in the analysis of algorithms and associated combinatorial structures.
Author: Hillol Kargupta
Publisher: SIAM
Published: 2005-04-01
Total Pages: 670
ISBN-13: 9780898715934
DOWNLOAD EBOOKThe Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.
Author: Ian Munro
Publisher:
Published: 2008
Total Pages: 278
ISBN-13:
DOWNLOAD EBOOKAuthor: Michael W. Berry
Publisher: SIAM
Published: 2004-01-01
Total Pages: 556
ISBN-13: 9780898715682
DOWNLOAD EBOOKThe Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.
Author: Joydeep Ghosh
Publisher: SIAM
Published: 2006-04-01
Total Pages: 662
ISBN-13: 9780898716115
DOWNLOAD EBOOKThe Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them.
Author: David R. Ferguson
Publisher: SIAM
Published: 2005-01-01
Total Pages: 260
ISBN-13: 9780898715989
DOWNLOAD EBOOKThe papers were elicited primarily from Mathematics for Industry: Challenges and Frontiers, a conference sponsored by SIAM in October, 2003.
Author: Daniel Barbara
Publisher: SIAM
Published: 2003-01-01
Total Pages: 368
ISBN-13: 9780898715453
DOWNLOAD EBOOKThe third SIAM International Conference on Data Mining provided an open forum for the presentation, discussion and development of innovative algorithms, software and theories for data mining applications and data intensive computation. This volume includes 21 research papers.
Author: Bo Hu
Publisher: Springer Science & Business Media
Published: 2011-06-24
Total Pages: 664
ISBN-13: 3642200095
DOWNLOAD EBOOKThis book contains selected papers from the symposium "Operations Research 2010" which was held from September 1-3, 2010 at the "Universität der Bundeswehr München", Germany. The international conference, which also serves as the annual meeting of the German Operations Research Society (GOR), attracted more than 600 participants from more than thirty countries. The general theme "Mastering Complexity" focusses on a natural component of the globalization process. Financial markets, traffic systems, network topologies and, last but not least, energy resource management, all contain complex behaviour and economic interdependencies which necessitate a scientific solution. Operations Research is one of the key instruments to model, simulate and analyze such systems. In the process of developing optimal solutions, suitable heuristics and efficient procedures are some of the challenges which are discussed in this volume.
Author: Chid Apte
Publisher: Proceedings in Applied Mathema
Published: 2007
Total Pages: 674
ISBN-13:
DOWNLOAD EBOOKThe Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them because they are large and often noisy. Sophisticated, highperformance, and principled analysis techniques and algorithms, based on sound statistical foundations, are required. Visualization is often critically important; tuning for performance is a significant challenge; and the appropriate levels of abstraction to allow end-users to exploit sophisticated techniques and understand clearly both the constraints and interpretation of results are still something of an open question.
