000 01790nam a22005293i 4500
001 BDZ0044942984
003 StDuBDS
005 20241024173219.0
008 240730s2020 gw a g 000|0 eng d
020 _a9783658297787 :
_c44.99
040 _aStDuBDS
050 4 _aQ350-390
050 4 _aQA76.9.D343
050 4 _aQA76.9.D35
072 7 _aGPF
_2bicssc
072 7 _aUMB
_2bicssc
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aGEN
_2ukslc
072 7 _aGPF
_2thema
072 7 _aUMB
_2thema
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
072 7 _aPBT
_2thema
072 7 _aUN
_2thema
072 7 _aUYZM
_2thema
100 1 _aRunkler, Thomas A.,
_eauthor.
245 1 0 _aData Analytics :
_bModels and Algorithms for Intelligent Data Analysis /
_cThomas A. Runkler.
250 _a3rd ed. 2020.
264 1 _aWiesbaden :
_bSpringer,
_c2020.
300 _a161 pages :
_billustrations (black and white) ;
_c24 cm
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
520 8 _aThis book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications.
650 0 _aData mining.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 7 _aGeneral
650 7 _aInformation theory
650 7 _aAlgorithms & data structures
650 7 _aData mining
650 7 _aExpert systems / knowledge-based systems
650 7 _aProbability & statistics
650 7 _aDatabases
650 7 _aInformation architecture
999 _c89863
_d89863