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  1. Uplift-Modeling-for-Treatment-Non-Responders-through-Multifaceted-Intervention-for-Cost-Optimization Uplift-Modeling-for-Treatment-Non-Responders-through-Multifaceted-Intervention-for-Cost-Optimization Public

    A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.

    Jupyter Notebook 2

  2. Generating-Composite-Proxy-Target-Variable-for-Machine-Learning-Models-of-Business-Decisions Generating-Composite-Proxy-Target-Variable-for-Machine-Learning-Models-of-Business-Decisions Public

    A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually…

    Jupyter Notebook 1

  3. Fraud-Detection Fraud-Detection Public

    The framework explains the methods for identifying intentional credit card fraud using relational and network data and activities.

    1

  4. 5-Model-Risk-Management-Evaluation-Frameworks 5-Model-Risk-Management-Evaluation-Frameworks Public

    Human decision scientists should consider five critical aspects when evaluating ML models.

  5. Lag-Length-Estimation-under-Market-Mix-Modeling-Framework-and-Time-Series-Forecasting Lag-Length-Estimation-under-Market-Mix-Modeling-Framework-and-Time-Series-Forecasting Public

    Estimation of the Lag Length of the Advertising Adstock or Carryover Effect under the Market Mix Modeling (MMM) framework.

  6. Groupthink-in-Decision-Making-Process Groupthink-in-Decision-Making-Process Public

    This study proposes a “divide-and-decide” (DiDe) strategy designed to minimize the effects of groupthink on the selection of decision alternatives.