Data Warehousing and Knowledge Discovery: 13th International by João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado PDF

By João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado (auth.), Alfredo Cuzzocrea, Umeshwar Dayal (eds.)

ISBN-10: 3642235441

ISBN-13: 9783642235443

This ebook constitutes the refereed complaints of the thirteenth overseas convention on information Warehousing and information Discovery, DaWak 2011 held in Toulouse, France in August/September 2011.

The 37 revised complete papers provided have been conscientiously reviewed and chosen from 119 submissions. The papers are prepared in topical sections on actual and conceptual information warehouse types, information warehousing layout methodologies and instruments, facts warehouse functionality and optimization, development mining, matrix-based mining innovations and circulation, sensor and time-series mining.

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Example text

For a uniform distribution, the reference aggregate function should be g = COU N T and for a constant distribution g −1 (er , enew , eold ) = enew . The following example illustrates how disaggregation works: we distribute a new article quantity of 384 to all sales facts in Germany for the year 2010. The input M O contains all 5 dimensions Article, Location, SellDate, Price and Quantity and is not restricted. The parameters for the disaggregation are: α−1 Article , Germany, 2010, P rice, Quantity , g −1 , g, enew = 384, t = 5, r = 5] (M O) = M O The distribution function g −1 is the standard function explained in the previous section and the reference aggregate function g is SU M .

The Planning OLAP Model - A Multidimensional Model DimensionTypes: Article Location SellDate Country Year Price Quantity Price Quantity 17 Category Types: Group OS Region Family Brand Article ShopType Quarter City Month Shop Day Fact Type: Week Sale Fig. 1. An example schema Mobile phones Group Smartphones Family Brand OS Article Apple iOS HTC Samsung Android iPhone4 Cellphones Accessories Nokia Windows Phone 7 HTC Desire Omnia7 Hama Symbian Nokia 2323 BT Headset Mini-USB Charger Fig. 2. Dimension values and partial ordering for dimension Article Country Germany Region ShopType City Shop South Brandstore East North Provider Munich Apple Store West Retailer Dresden Vodafone Shop Small Dealer Hamburg MediaMarkt Frankfurt Real Handy Shop Fig.

Mappable markers (D2) are mapped to real data (either manually or in an automated fashion, depending on source’s metadata), now becoming mapped markers (D3: mapped marker); Step 3. Each grain-goal related to a chosen goal (D1) having all of its markers mapped (D3) will become satisfied (D5: satisfied grain-goal); Step 4. Once all satisfied grain-goals (D5) are found, the corresponding rationale AND/OR decomposition-trees are read to deliver satisfied goals (D6: satisfied goal) from the set of chosen goals (D1).

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Data Warehousing and Knowledge Discovery: 13th International Conference, DaWaK 2011, Toulouse, France, August 29-September 2,2011. Proceedings by João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado (auth.), Alfredo Cuzzocrea, Umeshwar Dayal (eds.)


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