| 000 | 02995nam a22003855i 4500 | ||
|---|---|---|---|
| 001 | 85005 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230207040451.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160429s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319242118 | ||
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aQ325.5 _bU578 2016 |
|
| 082 | 0 | 4 | _a621.382 |
| 245 | 1 | 0 |
_aUnsupervised Learning Algorithms _cedited by M Emre Celebi, Kemal Aydin |
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (X, 558 páginas) _b160 ilustraciones, 101 ilustraciones en color |
||
| 336 |
_aTexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 505 | 0 | _aIntroduction -- Feature Construction -- Feature Extraction -- Feature Selection -- Association Rule Learning -- Clustering -- Anomaly/Novelty/Outlier Detection -- Evaluation of Unsupervised Learning -- Applications -- Conclusion. | |
| 520 | 3 | _aThis book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with�the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
|
| 942 |
_2lcc _cLE |
||
| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
| 650 | 7 |
_aAprendizaje automático _0(OCoLC)1004795 _2embne _0 _9166090 |
|
| 650 | 7 |
_aAlgoritmos computacionales _0(OCoLC)872010 _2embne _0 _9151819 |
|
| 700 | 1 |
_aCelebi, M. Emre _eeditor literario _0Local _997651 |
|
| 700 | 1 |
_aAydin, Kemal _eeditor literario _0Local _997652 |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-24211-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 901 | _ai9783319242118 | ||
| 907 |
_a.b12942832 _b10-10-17 _c21-11-16 |
||
| 998 |
_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0 |
||
| 945 |
_aQ325.5 U578 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11587118 _z06-04-17 |
||
| 999 |
_c85005 _d85005 _x1 |
||