000 | 03220nam a22004815i 4500 | ||
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001 | 978-3-642-30341-8 | ||
003 | DE-He213 | ||
005 | 20200420221254.0 | ||
007 | cr nn 008mamaa | ||
008 | 120813s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642303418 _9978-3-642-30341-8 |
||
024 | 7 |
_a10.1007/978-3-642-30341-8 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aRough Sets and Intelligent Systems - Professor Zdzis�aw Pawlak in Memoriam _h[electronic resource] : _bVolume 2 / _cedited by Andrzej Skowron, Zbigniew Suraj. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aLII, 604 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v43 |
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505 | 0 | _aFrom the Contents: From Logic to Computer Science - A Personal Experience -- Knowledge Algebras and Their Discrete Duality -- Comparison of Greedy Algorithms for Decision Tree Optimization -- A Review of the Knowledge Granulation Methods: Discrete vs Continuous Algorithms -- Game-theoretic Rough Sets for Feature Selection -- A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance -- Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach -- Incorporating Rough Data in Database Design for Imprecise Information Representation. | |
520 | _aThis book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being. This book prepared in two volumes contains more than 50 chapters. This demonstrates that the scientific approaches  discovered by of Professor Zdzis{\l}aw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by many researchers in many places throughout the world. The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches. We are proud to offer the readers this book. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aSkowron, Andrzej. _eeditor. |
|
700 | 1 |
_aSuraj, Zbigniew. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642303401 |
830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v43 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-30341-8 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c52796 _d52796 |