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Estepan Meliksetian

from Danbury, CT

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Estepan Meliksetian Phones & Addresses

  • Danbury, CT
  • Fairfax, VA
  • Harrison, NY
  • 6 Bridge Ln, Yorktown Hts, NY 10598 • (914)3156632
  • Yorktown Heights, NY
  • Syracuse, NY
  • 6 Bridge Ln, Yorktown Heights, NY 10598

Us Patents

  • Predicting Influence In Social Networks

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  • US Patent:
    20130041860, Feb 14, 2013
  • Filed:
    Aug 10, 2011
  • Appl. No.:
    13/206981
  • Inventors:
    Richard D. Lawrence - Ridgefield CT, US
    Estepan Meliksetian - Yorktown Heights NY, US
    Prem Melville - White Plains NY, US
    Claudia Perlich - Mount Kisco NY, US
    Karthik Subbian - Karnataka, IN
  • Assignee:
    INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
  • International Classification:
    G06N 5/02
  • US Classification:
    706 46
  • Abstract:
    A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users.

  • Estimating Monthly Heating Oil Consumption From Fiscal Year Oil Consumption Data Using Multiple Regression And Heating Degree Day Density Function

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  • US Patent:
    20120278038, Nov 1, 2012
  • Filed:
    Apr 29, 2011
  • Appl. No.:
    13/098076
  • Inventors:
    Lianjun An - Yorktown Heights NY, US
    Huijing Jiang - White Plains NY, US
    Young Min Lee - Old Westbury NY, US
    Fei Liu - Mt. Kisco NY, US
    Estepan Meliksetian - Yorktown Heights NY, US
    Chandrasekhara K. Reddy - Kinnelon NJ, US
  • Assignee:
    INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
  • International Classification:
    G06F 19/00
  • US Classification:
    702181
  • Abstract:
    Estimating monthly heating oil consumption of a building that uses heating oil and non-oil source of energy, may include separating by applying statistical models, yearly consumption of oil data associated with the building into base load oil consumption and space heating oil consumption. The separating may also include determining monthly base load oil consumption associated with the building. Monthly space heating consumption of oil may be estimated by applying a heating degree day density function to the space heating oil consumption. The monthly space heating consumption may be aggregated with the monthly base load oil consumption to estimate the monthly heating oil consumption.

  • Predicting Influence In Social Networks

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  • US Patent:
    20170262759, Sep 14, 2017
  • Filed:
    May 25, 2017
  • Appl. No.:
    15/605380
  • Inventors:
    - Armonk NY, US
    Estepan Meliksetian - Yorktown Heights NY, US
    Prem Melville - White Plains NY, US
    Claudia Perlich - Mount Kisco NY, US
    Karthik Subbian - Karnataka, IN
  • International Classification:
    G06N 5/04
    G06Q 50/00
    G06N 99/00
    G06Q 30/02
  • Abstract:
    A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users.

  • Predicting Influence In Social Networks

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  • US Patent:
    20150235137, Aug 20, 2015
  • Filed:
    May 7, 2015
  • Appl. No.:
    14/706316
  • Inventors:
    - Armonk NY, US
    Estepan Meliksetian - Yorktown Heights NY, US
    Prem Melville - White Plains NY, US
    Claudia Perlich - Mount Kisco NY, US
    Karthik Subbian - Karnataka, IN
  • International Classification:
    G06N 5/04
    G06Q 50/00
    G06Q 30/02
    G06N 99/00
  • Abstract:
    A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users.
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