000 | 02194nam a22003377a 4500 | ||
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001 | sulb-eb0017234 | ||
003 | BD-SySUS | ||
005 | 20160405140640.0 | ||
008 | 110304s2012||||enk o ||1 0|eng|d | ||
020 | _a9781139047869 (ebook) | ||
020 | _z9780521190213 (hardback) | ||
020 | _z9780521122047 (paperback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS. |
||
050 | 0 | 0 |
_aQ325.7 _b.M85 2012 |
082 | 0 | 0 |
_a006.3/1 _223 |
100 | 1 |
_aMüller, M. E., _eauthor. |
|
245 | 1 | 0 |
_aRelational Knowledge Discovery / _cM. E. Müller. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2012. |
|
300 |
_a1 online resource (280 pages) : _bdigital, PDF file(s). |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
500 | _aTitle from publisher's bibliographic system (viewed on 04 Apr 2016). | ||
520 | _aWhat is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches. | ||
650 | 0 | _aComputational learning theory | |
650 | 0 | _aMachine learning | |
650 | 0 | _aRelational databases | |
776 | 0 | 8 |
_iPrint version: _z9780521190213 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1017/CBO9781139047869 |
942 |
_2Dewey Decimal Classification _ceBooks |
||
999 |
_c38672 _d38672 |