000 | 04357nam a22006375i 4500 | ||
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_a9783540362999 _9978-3-540-36299-9 |
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024 | 7 |
_a10.1007/11795131 _2doi |
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050 | 4 | _aTA347.A78 | |
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_aRough Sets and Knowledge Technology _h[electronic resource] : _bFirst International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings / _cedited by James F. Peters, Yiju Yao. |
250 | _a1st ed. 2006. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2006. |
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300 |
_aXXII, 810 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4062 |
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505 | 0 | _aCommemorative Paper -- Keynote Papers -- Plenary Papers -- Rough Computing -- Evolutionary Computing -- Fuzzy Sets -- Granular Computing -- Neural Computing -- Machine Learning and KDD -- Logics and Reasoning -- Multiagent Systems and Web Intelligence -- Pattern Recognition -- System Engineering and Description -- Real-Life Applications Based on Knowledge Technology. | |
520 | _aThis volume contains the papers selected for presentation at the First Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2006) organized in Chongqing, P. R. China, July 24-26, 2003. There were 503 s- missions for RSKT 2006 except for 1 commemorative paper, 4 keynote papers and 10 plenary papers. Except for the 15 commemorative and invited papers, 101 papers were accepted by RSKT 2006 and are included in this volume. The acceptance rate was only 20%. These papers were divided into 43 regular oral presentation papers (each allotted 8 pages), and 58 short oral presentation - pers (each allotted 6 pages) on the basis of reviewer evaluation. Each paper was reviewed by two to four referees. Since the introduction of rough sets in 1981 by Zdzis law Pawlak, many great advances in both the theory and applications have been introduced. Rough set theory is closely related to knowledge technology in a variety of forms such as knowledge discovery, approximate reasoning, intelligent and multiagent systems design, and knowledge intensive computations that signal the emergence of a knowledge technology age. The essence of growth in cutting-edge, state-of-t- art and promising knowledge technologies is closely related to learning, pattern recognition,machine intelligence and automation of acquisition, transformation, communication, exploration and exploitation of knowledge. A principal thrust of such technologies is the utilization of methodologies that facilitate knowledge processing. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aInformation storage and retrieval systems. _922213 |
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650 | 0 |
_aDatabase management. _93157 |
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650 | 0 |
_aMachine theory. _9129313 |
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650 | 0 |
_aComputer science. _99832 |
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650 | 0 |
_aPattern recognition systems. _93953 |
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650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 4 |
_aDatabase Management. _93157 |
650 | 2 | 4 |
_aFormal Languages and Automata Theory. _9129314 |
650 | 2 | 4 |
_aTheory of Computation. _9129315 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
700 | 1 |
_aPeters, James F. _eeditor. _0(orcid) _10000-0002-1026-4638 _4edt _4http://id.loc.gov/vocabulary/relators/edt _911752 |
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700 | 1 |
_aYao, Yiju. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9129316 |
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710 | 2 |
_aSpringerLink (Online service) _9129317 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540362975 |
776 | 0 | 8 |
_iPrinted edition: _z9783540826606 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4062 _9129318 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/11795131 |
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