Standards Research Data

Ranking units which include multiple inputs and outputs in natural and social systems is a complex problem. DEA cross-efficiency evaluation method is an effective approach widely used in evaluating and ranking the decision making units to tackle this problem. The traditional cross-efficiency model is lack consideration for the relationships among DMUs. For this problem, the paper constructs the relationship matrix among DMUs to reflect the relationships among DMUs based on competitive interval and competitive vision.

31 views
  • Standards Research Data
  • Last Updated On: 
    Tue, 03/19/2019 - 04:07

    Appendix for Principal Components

    45 views
  • Standards Research Data
  • Last Updated On: 
    Fri, 03/15/2019 - 14:56

    These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation. 

    42 views
  • Standards Research Data
  • Last Updated On: 
    Fri, 03/08/2019 - 04:14

    These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation. 

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  • Standards Research Data
  • Last Updated On: 
    Fri, 03/08/2019 - 04:14

    These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation. 

    14 views
  • Standards Research Data
  • Last Updated On: 
    Fri, 03/08/2019 - 04:14

    These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation. 

    20 views
  • Standards Research Data
  • Last Updated On: 
    Fri, 03/08/2019 - 04:14

    These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation. 

    views
  • Standards Research Data
  • Last Updated On: 
    Fri, 03/08/2019 - 04:13

    Data for the article in the Transactions on Industrial Informatics

    108 views
  • Standards Research Data
  • Last Updated On: 
    Thu, 02/28/2019 - 12:16

    The MovieLens 1M dataset has been extended introducing diverse shilling profiles to push or nuke a target item. Shilling profiles has been generated using different shilling attack methods: random, average, bandwagon, reverse-bandwagon, love-hate and perfect-knowledge. Each file contains the 1M original MovieLens ratings plus the added votes for the shilling profiles. Each shilling profile rates as many items as the mean number of ratings from each user in the original dataset. The dataset is divided in four quartiles based on the number of rating for the target item.

    137 views
  • Standards Research Data
  • Last Updated On: 
    Wed, 02/27/2019 - 19:00

    A two-year electricity consumption data of a hotel building in Shanghai, China and and corresponding outdoor weather data.

    136 views
  • Standards Research Data
  • Last Updated On: 
    Tue, 02/19/2019 - 05:38

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