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Ioan Bogdan Crivat

age ~49

from Woodinville, WA

Also known as:
  • Ioan B Crivat
  • Bodan Crivat
Phone and address:
19526 NE 143Rd St, Woodinville, WA 98077
425-497-0243

Ioan Crivat Phones & Addresses

  • 19526 NE 143Rd St, Woodinville, WA 98077 • 425-497-0243
  • 8935 160Th Ave, Redmond, WA 98052 • 425-497-0243
  • Kiona, WA
  • 8935 160Th Ave NE APT D228, Redmond, WA 98052 • 425-497-0243

Us Patents

  • Systems And Methods That Facilitate Data Mining

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  • US Patent:
    7398268, Jul 8, 2008
  • Filed:
    Feb 2, 2005
  • Appl. No.:
    11/049031
  • Inventors:
    Pyungchul Kim - Sammamish WA, US
    ZhaoHui Tang - Bellevue WA, US
    Ioan Bogdan Crivat - Redmond WA, US
    C. James MacLennan - Redmond WA, US
    Raman S. Iyer - Redmond WA, US
    Irina G. Gorbach - Bellevue WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/30
  • US Classification:
    707 3, 705 1, 705 35
  • Abstract:
    A system that facilitates data mining comprises a reception component that receives command(s) in a declarative language that relate to utilizing an output of a first data mining model as an input to a second data mining model. An implementation component analyzes the received command(s) and implements the command(s) with respect to the first and second data mining models. In another aspect of the subject invention, the reception component can receive further command(s) in a declarative language with respect to causing one or more of the first and second data mining models to output a prediction, the prediction desirably generated without prediction input, the implementation component causes the one or more of the first and second data mining models to output the prediction.
  • Using A Rowset As A Query Parameter

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  • US Patent:
    7451137, Nov 11, 2008
  • Filed:
    Feb 28, 2005
  • Appl. No.:
    11/069121
  • Inventors:
    Ioan Bogdan Crivat - Redmond WA, US
    C James MacLennan - Redmond WA, US
    Raman S Iyer - Redmond WA, US
    Marius Dumitru - Issaquah WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/30
  • US Classification:
    707 4, 707103 R, 707 2
  • Abstract:
    Architecture that facilitates syntax processing for data mining statements. The system includes a syntax engine that receives as an input a query statement which, for example, is a data mining request. The statement can be generated from many different sources, e. g. , a client application and/or a server application, and requests query processing of a data source (e. g. , a relational database) to return a result set. The syntax engine includes a binding component that converts the query statement into an encapsulated statement in accordance with a predefined grammar. The encapsulated statement includes both data and data operations to be performed on the data of the data source, and which is understood by the data source. An execution component processes the encapsulated statement against the data source to return the desired result set.
  • Unstructured Data In A Mining Model Language

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  • US Patent:
    7593927, Sep 22, 2009
  • Filed:
    Mar 10, 2006
  • Appl. No.:
    11/373319
  • Inventors:
    C. James MacLennan - Redmond WA, US
    Ioan Bogdan Crivat - Redmond WA, US
    ZhaoHui Tang - Bellevue WA, US
    Raman S. Iyer - Redmond WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 7/00
    G06F 17/30
  • US Classification:
    707 3
  • Abstract:
    A standard mechanism for directly accessing unstructured data types (e. g. , image, audio, video, gene sequencing and text data) in accordance with data mining operations is provided. The subject innovation can enable access to unstructured data directly from within the data mining engine or tool. Accordingly, the innovation enables multiple vendors to provide algorithms for mining unstructured data on a data mining platform (e. g. , an SQL-brand server), thereby increasing adoption. As well, the subject innovation allows users to directly mine unstructured data that is not fixed-length, without pre-processing and tokenizing the data external to the data mining engine. In accordance therewith, the innovation can provide a mechanism to expand declarative language content types to include an “unstructured” data type thereby enabling a user and/or application to affirmatively designate mining data as an unstructured type.
  • Analyzing Mining Pattern Evolutions By Comparing Labels, Algorithms, Or Data Patterns Chosen By A Reasoning Component

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  • US Patent:
    7636698, Dec 22, 2009
  • Filed:
    Mar 16, 2006
  • Appl. No.:
    11/376993
  • Inventors:
    Ioan Bogdan Crivat - Redmond WA, US
    Elena D. Cristofor - Redmond WA, US
    C. James MacLennan - Redmond WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06E 1/00
    G06E 3/00
    G06G 7/00
  • US Classification:
    706 21
  • Abstract:
    Architecture for analyzing pattern shifts in data patterns of data mining models and outputting the results. This allows comparing and describing differences between two semantically similar sets of patterns (or mining models), and for analyzing historical changes in versions of the same model or differences in patterns found by two or more different algorithms applied to the same data. The architecture can also facilitate explaining data patterns that shift over time and over different data populations, and between versions of the same model that use different algorithms. A model component is employed for storing data mining models have respective sets of data patterns obtained from a dataset, and an analysis component analyzes the sets of the data patterns for difference data therebetween. The dataset can be a subsample of a larger set of data and can be analyzed by the analysis component over a time period.
  • Systems And Methods Of Utilizing And Expanding Standard Protocol

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  • US Patent:
    7689703, Mar 30, 2010
  • Filed:
    Mar 1, 2005
  • Appl. No.:
    11/069342
  • Inventors:
    Mosha Pasumansky - Redmond WA, US
    Marius Dumitru - Issaquah WA, US
    Adrian Dumitrascu - Bellevue WA, US
    Cristian Petculescu - Redmond WA, US
    Akshai M. Mirchandani - Redmond WA, US
    Paul J. Sanders - Seattle WA, US
    Thulusalamatom Krishnamurthi Anand - Redmond WA, US
    Richard R. Tkachuk - Sammamish WA, US
    Raman S. Iyer - Redmond WA, US
    Thomas P. Conlon - Redmond WA, US
    Alexander Berger - Sammamish WA, US
    Sergei Gringauze - Redmond WA, US
    Ioan Bogdan Crivat - Redmond WA, US
    C. James MacLennan - Redmond WA, US
    Rong J. Guan - Sammamish WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 15/16
    G06F 17/30
  • US Classification:
    709230, 707 10
  • Abstract:
    The subject invention relates to systems and methods that extend the network data access capabilities of mark-up language protocols. In one aspect, a network data transfer system is provided. The system includes a protocol component that employs a computerized mark-up language to facilitate data interactions between network components, whereby the data interactions were previously limited or based on a statement command associated with the markup language. An extension component operates with the protocol component to support the data transactions, where the extension component supplies at least one other command from the statement command to facilitate the data interactions.
  • Partitioning Of Data Mining Training Set

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  • US Patent:
    7756881, Jul 13, 2010
  • Filed:
    Mar 9, 2006
  • Appl. No.:
    11/371477
  • Inventors:
    Ioan Bogdan Crivat - Redmond WA, US
    Raman S. Iyer - Redmond WA, US
    C. James MacLennan - Redmond WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 7/00
    G06F 17/30
  • US Classification:
    707754, 707776
  • Abstract:
    A system that effectuates fetching a complete set of relational data into a mining services server and subsequently defining desired partitions upon the fetched data is provided. In accordance with the innovation, the data can be locally cached and partitioned therefrom. Accordingly, upon the same mining structure (e. g. , cache) that has been partitioned, the novel innovation can build mining models for each partition. In other words, the innovation can employ the concept of mining structure as a data cache while manipulating only partitions of this cache in certain operations. The innovation can be employed in scenarios where a user wants to train a mining model using only data points that satisfy a particular Boolean condition, a user wants to split the training set into multiple partitions (e. g. , training/testing) and/or a user wants to perform a data mining procedure known as “N-fold cross validation. ”.
  • Goal Seeking Using Predictive Analytics

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  • US Patent:
    7788200, Aug 31, 2010
  • Filed:
    Feb 2, 2007
  • Appl. No.:
    11/670656
  • Inventors:
    Ioan Bogdan Crivat - Redmond WA, US
    C. James MacLennan - Redmond WA, US
    Raman S. Iyer - Redmond WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/00
  • US Classification:
    706 46, 715212
  • Abstract:
    Seeking goals in data that can be expressed as rows and columns is provided through predictive analytics. If a desired goal is achievable, the changes to the rows and/or columns that can achieve the goal are presented to a user. If the desired goal is not achievable, an error message or other indicator can be presented to the user. Predictive analytics can include a predictive algorithm, various data mining techniques, or other predictive techniques. A confidence metric of a goal-seek result can be normalized to estimate the degree of confidence that a particular change will yield the desired outcome.
  • Detecting And Displaying Exceptions In Tabular Data

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  • US Patent:
    7797264, Sep 14, 2010
  • Filed:
    Feb 2, 2007
  • Appl. No.:
    11/670735
  • Inventors:
    Raman S. Iyer - Redmond WA, US
    C. James MacLennan - Redmond WA, US
    Ioan Bogdan Crivat - Redmond WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/00
  • US Classification:
    706 45, 707776
  • Abstract:
    Data expressed as tabular data having columns and rows can be analyzed and data determined to be an exception can be flagged. In addition, reasons for flagging such data as exceptions can be presented to a user to facilitate further analysis and action on the data. A predictive analysis component can utilize a clustering algorithm with predictive capabilities to autonomously analyze the data. Periodic re-analysis of the data can be performed to determine if exceptions have changed based on new or modified data.
Name / Title
Company / Classification
Phones & Addresses
Ioan Crivat
Principal
Immanence LLC
Nonclassifiable Establishments
19526 NE 143 St, Woodinville, WA 98077

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