Business Processes

Häftad, Engelska, 2012

Del i serien Synthesis Lectures on Data Management

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Beskrivning

While classic data management focuses on the data itself, research on Business Processes also considers the context in which this data is generated and manipulated, namely the processes, users, and goals that this data serves.

Produktinformation

Utgivningsdatum:2012-07-20
Mått:191 x 235 x 10 mm
Vikt:208 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Data Management
Antal sidor:91
Förlag:Springer International Publishing AG
ISBN:9783031007637
Originaltitel:Business Processes

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT
Programmeringsböcker inom Data och IT

Mer om författaren

Tova Milo received her Ph.D. degree in Computer Science from the Hebrew University, Jerusalem, in 1992. After graduating she worked at the INRIA research institute in Paris and at University of Toronto and returned to Israel in 1995, joining the School of Computer Science at Tel Aviv university where she is now a full Professor and Department head. Her research focuses on advanced database applications such as data integration, XML and semi-structured information, Web-based applications and Business Processes, studying both theoretical and practical aspects. Tova served as the Program Chair of several international conferences, including PODS, ICDT, VLDB, XSym, and WebDB. She is a member of the VLDB Endowment and the ICDT executive board and is an editor of TODS, the VLDB Journal, and the Logical Methods in Computer Science Journal. She has received grants from the Israel Science Foundation, the US-Israel Binational Science Foundation, the Israeli and French Ministry of Science, and the European Union. She is a recipient of the 2010 ACM PODS Alberto O. Mendelzon Test-of-Time Award and of the prestigious EU ERC Advanced Investigators grant. Daniel Deutch is an Assistant Professor in the Computer Science Department of Ben Gurion University. He received his Ph.D. in Computer Science from Tel Aviv University in 2010 and was a Postdoc at the University of Pennsylvania (UPenn), and at the INRIA research institute. His research interests include, among other areas, web data management, data provenance, and inference in database systems. During his Ph.D. studies, Daniel received a number of awards for his research, including the Israeli Ministry of Science Eshkol grant and ICDT best student paper award. Daniel has been a member of the program committee of various international conferences and workshops (including WWW, ICDT, PODS). Daniel’s research is funded by grants from the US-Israel Binational Science Foundation and the Israeli Ministry of Science.