Business Intelligence: Second European Summer School, eBISS by Torben Bach Pedersen (auth.), Marie-Aude Aufaure, Esteban

By Torben Bach Pedersen (auth.), Marie-Aude Aufaure, Esteban Zimányi (eds.)

To huge companies, enterprise intelligence (BI) offers the aptitude of gathering and reading inner and exterior info to generate wisdom and cost, hence delivering choice help on the strategic, tactical, and operational degrees. BI is now impacted by way of the “Big information” phenomena and the evolution of society and clients. particularly, BI purposes needs to deal with extra heterogeneous (often Web-based) assets, e.g., from social networks, blogs, competitors’, suppliers’, or vendors’ information, governmental or NGO-based research and papers, or from examine guides. moreover, they need to have the capacity to supply their effects additionally on cellular units, bearing in mind location-based or time-based environmental data.

The lectures held on the moment ecu enterprise Intelligence summer season tuition (eBISS), that are provided right here in a longer and sophisticated layout, disguise not just verified BI and BPM applied sciences, yet expand into leading edge elements which are very important during this new surroundings and for novel purposes, e.g., desktop studying, common sense networks, graph mining, enterprise semantics, large-scale info administration and research, and multicriteria and collaborative choice making.

Combining papers via major researchers within the box, this quantity equips the reader with the cutting-edge history invaluable for developing the way forward for BI. It additionally offers the reader with a very good foundation and plenty of guidelines for extra examine during this growing to be field.

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Additional resources for Business Intelligence: Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures

Example text

Idea Group Publishing (2003) 12. : Information retrieval from an incomplete data cube. In: VLDB, pp. 532–543 (1996) 13. : SQL standardization: The next steps. SIGMOD Record 29(1), 63–67 (2000) 14. : Data cube: A relational aggregation operator generalizing group-by, cross-tab and sub-totals. DMKD 1(1), 29–54 (1997) 15. : A foundation for multi-dimensional databases. In: VLDB, pp. 106–115 (1997) 16. : Capturing summarizability with integrity constraints in OLAP. TODS 30(3), 854–886 (2005) 17. : What can hierarchies do for data warehouses?

Can represent a single object or a collection of objects (see Table 2). 10 Message Used to depict the contents of a communication between two participants. 11 Text A mechanism to provide additional Annotation text information for the reader of a BPMN Diagram. Notation 43 44 A. Vaisman Table 2. Extended Elements # Element 1 Events 2 Task (atomic) 3 Choreography 4 Collapsed Sub-process 5 Expanded Sub-process 6 Collapsed Sub-choreography 7 Expanded Sub-choreography 8 Gateway types Description A start event indicates where a particular process or choreography starts.

Example 2 (Workflow10 ). An insurance company processes claims regarding car accidents in which its customers are involved. The procedure for processing the insurance claims is the following. Every claim reported by a customer is registered by an employee of the Car Damages (CD) department. After registration, the insurance claim is classified by an employee within CD. There are two categories: simple and complex claims. For simple claims, two tasks (independent from each other ) need to be executed: check insurance and phone garage.

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