Data mining in time series databases:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New Jersey
World Scientific
©2004
|
| Schriftenreihe: | Series in machine perception and artificial intelligence
v. 57 |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references Segmenting time series : a survey and novel approach - E. Keogh [and others] -- - A survey of recent methods for efficient retrieval of similar time sequences - M.L. Hetland -- - Indexing of compressed time series - E. Fink and K.B. Pratt -- - Indexing time-series under conditions of noise - M. Vlachos, D. Gunopulos, and G. Das -- - Change detection in classification models induced from time series data - G. Zeira [and others] -- - Classification and detection of abnormal events in time series of graphs - H. Bunke and M. Kraetzl -- - Boosting interval-based literals : variable length and early classification - C.J. Alonso González and J.J. Rodríguez Diez -- - Median strings : a review - X. Jiang, H. Bunke, and J. Csirik Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This manual examines state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the text also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed |
| Beschreibung: | 1 Online-Ressource (xi, 192 pages) |
| ISBN: | 1281347760 1423723023 9781281347763 9781423723028 9789812382900 9812382909 |
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| id | DE-604.BV043121047 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:18:04Z |
| institution | BVB |
| isbn | 1281347760 1423723023 9781281347763 9781423723028 9789812382900 9812382909 |
| language | English |
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| series2 | Series in machine perception and artificial intelligence |
| spelling | Data mining in time series databases editors, Mark Last, Abraham Kandel, Horst Bunke New Jersey World Scientific ©2004 1 Online-Ressource (xi, 192 pages) txt rdacontent c rdamedia cr rdacarrier Series in machine perception and artificial intelligence v. 57 Includes bibliographical references Segmenting time series : a survey and novel approach - E. Keogh [and others] -- - A survey of recent methods for efficient retrieval of similar time sequences - M.L. Hetland -- - Indexing of compressed time series - E. Fink and K.B. Pratt -- - Indexing time-series under conditions of noise - M. Vlachos, D. Gunopulos, and G. Das -- - Change detection in classification models induced from time series data - G. Zeira [and others] -- - Classification and detection of abnormal events in time series of graphs - H. Bunke and M. Kraetzl -- - Boosting interval-based literals : variable length and early classification - C.J. Alonso González and J.J. Rodríguez Diez -- - Median strings : a review - X. Jiang, H. Bunke, and J. Csirik Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This manual examines state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the text also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed Exploration de données (Informatique) Bases de données réparties COMPUTERS / Expert Systems bisacsh Data mining fast Distributed databases fast Exploration de données (Informatique) rvm Bases de données réparties rvm Data mining Distributed databases Faktendatenbank (DE-588)4212429-3 gnd rswk-swf Zeitreihe (DE-588)4127298-5 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Zeitreihe (DE-588)4127298-5 s Data Mining (DE-588)4428654-5 s Faktendatenbank (DE-588)4212429-3 s 1\p DE-604 Last, Mark Sonstige oth Kandel, Abraham Sonstige oth Bunke, Horst Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=137593 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Data mining in time series databases Exploration de données (Informatique) Bases de données réparties COMPUTERS / Expert Systems bisacsh Data mining fast Distributed databases fast Exploration de données (Informatique) rvm Bases de données réparties rvm Data mining Distributed databases Faktendatenbank (DE-588)4212429-3 gnd Zeitreihe (DE-588)4127298-5 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4212429-3 (DE-588)4127298-5 (DE-588)4428654-5 |
| title | Data mining in time series databases |
| title_auth | Data mining in time series databases |
| title_exact_search | Data mining in time series databases |
| title_full | Data mining in time series databases editors, Mark Last, Abraham Kandel, Horst Bunke |
| title_fullStr | Data mining in time series databases editors, Mark Last, Abraham Kandel, Horst Bunke |
| title_full_unstemmed | Data mining in time series databases editors, Mark Last, Abraham Kandel, Horst Bunke |
| title_short | Data mining in time series databases |
| title_sort | data mining in time series databases |
| topic | Exploration de données (Informatique) Bases de données réparties COMPUTERS / Expert Systems bisacsh Data mining fast Distributed databases fast Exploration de données (Informatique) rvm Bases de données réparties rvm Data mining Distributed databases Faktendatenbank (DE-588)4212429-3 gnd Zeitreihe (DE-588)4127298-5 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Exploration de données (Informatique) Bases de données réparties COMPUTERS / Expert Systems Data mining Distributed databases Faktendatenbank Zeitreihe Data Mining |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=137593 |
| work_keys_str_mv | AT lastmark dataminingintimeseriesdatabases AT kandelabraham dataminingintimeseriesdatabases AT bunkehorst dataminingintimeseriesdatabases |