Panoratio Database Images Gmbh

Sap Ag

Xplain Data Gmbh

Michael Haft

Reimar Hofmann

Volker Tresp

Andreas Vogel

Alan Southall

Simon Lee

Zhe Pu

Hanjo Täubig

Christian Koncilia

Peide Wang

Christine Preisach

A computer-implemented method processes a query on instances of an object of an object-oriented environment. The object has a root object and member fields which are sub-objects of the root object. The root object and each sub-object correspond to an entity represented by and stored in form of a table. The method includes analyzing the query to identify those objects which are necessary to execute the query. For each of the primary key values of a table corresponding to a root object, the method includes:

Method and apparatus for processing a query on a plurality of object instances

A benchmarking computing application is configured to create a benchmark run for a segment of customer profiles. Customer profiles from the segment include a parameter, termed an adjustment parameter, that may affect energy consumption by the associated customer. The results of the benchmark run include energy consumption values for individual customer profiles in the segment, an average energy consumption value for the entire segment of customer profiles, and also adjustment energy consumption value. The adjustment energy consumption value reflects the portion of energy consumption by a particular customer attributed to the difference between the average value of the adjustment parameter for the segment and the value of the adjustment parameter for the particular customer profile.

Energy benchmarking analytics

A method for performing an automatic software-driven statistical evaluation of a large amount of data to be assigned to statistical variables in a database contained in at least one cluster. The method is characterized by using a statistical model to model an approximate description of a relative frequency of the state or states of the statistical variables and a statistical dependencies between the state or states, and then determining the approximate relative frequency of the state or states of the statistical variables and the approximate relative frequency belonging to a predetermined relative frequency of the state or states of the statistical variables and an expected value of the state or states of the statistical variables dependent thereon.

Statistical models for improving the performance of database operations

The invention relates to a method and a system for detecting at least one partial model of a model pertaining to a system. A state of the system is described by state variables. At least on e of the state variables is a discrete state variable. Several value sets of the state variables are detected. A probability distribution for the state variables is detected by using the sets. The partial model of the system is detected using the sets and the probability distribution of the state variables and a statistical learning method. The partial model describes the system under the condition of the probability distribution for the state variables.

Method and system for modeling a system

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Zorneding, Germany

Michael Haft