By Alexander Löser, Fabian Hueske, Volker Markl (auth.), Malu Castellanos, Umesh Dayal, Timos Sellis (eds.)

This booklet constitutes the completely refereed post-conference lawsuits of the second one foreign Workshop on company Intelligence for the Real-Time firm, BIRTE 2008, held in Auckland, New Zealand, in August 2008, together with VLDB 2008, the foreign convention on Very huge information Bases.

The keynote speak and the ten revised complete papers provided have been conscientiously reviewed and chosen for inclusion within the e-book. The papers speak about the key features of commercial intelligence for the real-time firm, concentrating on versions and ideas, architectures, case-studies, and functions of and applied sciences for real-time company enterprise intelligence.

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Extra resources for Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected Papers

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112–121 (2004) 22. : Database Systems: The Complete Book. Prentice Hall PTR, Upper Saddle River (2001) 23. : Computing closest common subexpressions for view selection problems. In: DOLAP, pp. 75–82 (2006) 24. : Selecting views with maintenance cost constraints: Issues, heuristics and performance. Journal of Research and Practice in Information Technology 36(2), 89–110 (2004) 25. : Efficient exploitation of similar subexpressions for query processing. In: SIGMOD Conference, pp. 533–544 (2007) 26.

59–70 (1993) 20. : Data warehouse configuration. In: VLDB 1997, pp. 126–135 (1997) 21. : Constructing search spaces for materialized view selection. In: DOLAP, pp. 112–121 (2004) 22. : Database Systems: The Complete Book. Prentice Hall PTR, Upper Saddle River (2001) 23. : Computing closest common subexpressions for view selection problems. In: DOLAP, pp. 75–82 (2006) 24. : Selecting views with maintenance cost constraints: Issues, heuristics and performance. Journal of Research and Practice in Information Technology 36(2), 89–110 (2004) 25.

This meant that for some properties, data generated on Monday wouldn’t be ready for stakeholders until 4pm on Wednesday. 2 Past Instrumentation Techniques The instrumentation of web pages was also difficult. Yahoo! had systems that used Apache modules to write custom log data to disk via PHP and Perl APIs. These APIs would allow property developers to collect data such as page context, link view data, and click data. Consequentially, the APIs would also rewrite links in web pages by appending encoded link metadata to them.

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