소장자료
| LDR | 02545cam a2200313 a 4500 | ||
| 001 | 0100434784▲ | ||
| 005 | 20191204114605▲ | ||
| 007 | ta ▲ | ||
| 008 | 120816s2019 flua b 001 0 eng c▲ | ||
| 020 | ▼a9781439875315 (hbk.)▲ | ||
| 020 | ▼a9780367380816 (pbk.)▲ | ||
| 035 | ▼a(KERIS)REF000016911758▲ | ||
| 040 | ▼aDLC▼cDLC▼dDLC▼d221016▲ | ||
| 082 | 0 | 4 | ▼a006.3/12▼223▲ |
| 090 | ▼a006.312▼bT146s▲ | ||
| 100 | 1 | ▼aTalia, Domenico.▲ | |
| 245 | 1 | 0 | ▼aService-oriented distributed knowledge discovery /▼cDomenico Talia, Paolo Trunfio.▲ |
| 260 | ▼aBoca Raton :▼bCRC Press,▼c2019.▲ | ||
| 300 | ▼axx, 210 p. :▼bill. ;▼c25 cm.▲ | ||
| 490 | 0 | ▼aChapman & Hall/CRC data mining and knowledge discovery series▲ | |
| 504 | ▼aIncludes bibliographical references (p. 193-201) and index.▲ | ||
| 520 | ▼a"Preface Data analysis techniques and services are needed to mine the massive amount of data available and to extract useful knowledge from it. The service-oriented architecture (SOA) is used today as a model to develop software systems as a collection of services that are units of functionality and are interoperable in an open programming scenario. Service-oriented architectures can offer tools, techniques, and environments to support analysis, inference, and discovery processes over large data repositories available in many scientific and business areas. Knowledge discovery services, based on the availability of huge operation and application data and on the exploitation of data mining techniques, support and enable largescale knowledge discovery applications on service-oriented architectures such as Web servers, Grids, and Cloud computing platforms. This new approach can be referred to as service-oriented knowledge discovery. It addresses issues related to distributed knowledge discovery algorithms, data services composition, data and knowledge integration, and service-oriented data mining workflow, which provide the main components for extracting useful knowledge from the often unmanageable data volumes available today from many sources. This is done by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures"--▼cProvided by publisher.▲ | ||
| 650 | 0 | ▼aData mining.▲ | |
| 650 | 0 | ▼aService-oriented architecture (Computer science)▲ | |
| 700 | 1 | ▼aTrunfio, Paolo.▲ |
Service-oriented distributed knowledge discovery
자료유형
국외단행본
서명/책임사항
Service-oriented distributed knowledge discovery / Domenico Talia, Paolo Trunfio.
발행사항
Boca Raton : CRC Press , 2019.
형태사항
xx, 210 p. : ill. ; 25 cm.
서지주기
Includes bibliographical references (p. 193-201) and index.
요약주기
"Preface Data analysis techniques and services are needed to mine the massive amount of data available and to extract useful knowledge from it. The service-oriented architecture (SOA) is used today as a model to develop software systems as a collection of services that are units of functionality and are interoperable in an open programming scenario. Service-oriented architectures can offer tools, techniques, and environments to support analysis, inference, and discovery processes over large data repositories available in many scientific and business areas. Knowledge discovery services, based on the availability of huge operation and application data and on the exploitation of data mining techniques, support and enable largescale knowledge discovery applications on service-oriented architectures such as Web servers, Grids, and Cloud computing platforms. This new approach can be referred to as service-oriented knowledge discovery. It addresses issues related to distributed knowledge discovery algorithms, data services composition, data and knowledge integration, and service-oriented data mining workflow, which provide the main components for extracting useful knowledge from the often unmanageable data volumes available today from many sources. This is done by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures"-- Provided by publisher.
ISBN
9781439875315 (hbk.) 9780367380816 (pbk.)
청구기호
006.312 T146s
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