WO2009042552A3 - Temporally-aware evaluative score - Google Patents

Temporally-aware evaluative score Download PDF

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Publication number
WO2009042552A3
WO2009042552A3 PCT/US2008/077263 US2008077263W WO2009042552A3 WO 2009042552 A3 WO2009042552 A3 WO 2009042552A3 US 2008077263 W US2008077263 W US 2008077263W WO 2009042552 A3 WO2009042552 A3 WO 2009042552A3
Authority
WO
WIPO (PCT)
Prior art keywords
grain
finer
performance
dimension coordinates
finer grain
Prior art date
Application number
PCT/US2008/077263
Other languages
French (fr)
Other versions
WO2009042552A4 (en
WO2009042552A2 (en
Inventor
Todd O. Dampier
Original Assignee
Merced Systems, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Merced Systems, Inc. filed Critical Merced Systems, Inc.
Publication of WO2009042552A2 publication Critical patent/WO2009042552A2/en
Publication of WO2009042552A3 publication Critical patent/WO2009042552A3/en
Publication of WO2009042552A4 publication Critical patent/WO2009042552A4/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24553—Query execution of query operations
    • G06F16/24554—Unary operations; Data partitioning operations
    • G06F16/24556—Aggregation; Duplicate elimination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2477—Temporal data queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP

Abstract

A method includes processing a performance query to a dimensional data model by processing dimension coordinates that exist within the dimensional data model, wherein the dimension coordinates have a first particular grain ('finer grain') that is finer than a second particular grain ('coarser grain'), the method to determine an evaluative score for a particular finer grain value based on performance facts for dimension coordinates associated with the particular finer grain value. Performance parameters are determined relative to a particular coarser grain value, against which to measure the performance facts associated with the finer grain value, including processing the temporal relationships of finer grain values to coarser grain values for the dimension coordinates. The evaluative score is determined for the particular finer grain value based on performance facts of dimension coordinates having the particular finer grain value, in view of the determined performance parameters.
PCT/US2008/077263 2007-09-24 2008-09-22 Temporally-aware evaluative score WO2009042552A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/860,275 US8051075B2 (en) 2007-09-24 2007-09-24 Temporally-aware evaluative score
US11/860,275 2007-09-24

Publications (3)

Publication Number Publication Date
WO2009042552A2 WO2009042552A2 (en) 2009-04-02
WO2009042552A3 true WO2009042552A3 (en) 2009-11-19
WO2009042552A4 WO2009042552A4 (en) 2010-01-14

Family

ID=40394309

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2008/077263 WO2009042552A2 (en) 2007-09-24 2008-09-22 Temporally-aware evaluative score

Country Status (2)

Country Link
US (2) US8051075B2 (en)
WO (1) WO2009042552A2 (en)

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US9753994B2 (en) * 2009-06-19 2017-09-05 Optuminsight, Inc. System and method for generation of attribute driven temporal clustering
US8719217B1 (en) * 2013-03-15 2014-05-06 Decisyon, Inc. Systems, devices, and methods for generation of contextual objects mapped by dimensional data to data measures
EP3478484B1 (en) 2016-06-30 2021-07-21 Bridgestone Americas Tire Operations, LLC Methods for treating inner liners and tires containing such inner liners

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US20080154556A1 (en) * 2006-12-22 2008-06-26 Merced Systems, Inc. Disambiguation with respect to multi-grained dimension coordinates

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Non-Patent Citations (2)

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Also Published As

Publication number Publication date
US20090083216A1 (en) 2009-03-26
WO2009042552A4 (en) 2010-01-14
US20110161275A1 (en) 2011-06-30
US8166050B2 (en) 2012-04-24
WO2009042552A2 (en) 2009-04-02
US8051075B2 (en) 2011-11-01

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