Deepti Sisodia

Employment

Employment history is unavailable.

Education

• National Institute of Technology Raipur PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• A transfer learning framework towards identifying behavioral changes of fraudulent publishers in pay-per-click model of online advertising for click fraud detection
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2023.120922
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• Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection
  New Generation Computing 2023 DOI: 10.1007/s00354-023-00218-1
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• A hybrid data‐level sampling approach in learning from skewed user‐click data for click fraud detection in online advertising
  Expert Systems 2023 DOI: 10.1111/exsy.13147
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• Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising
  Data Technologies and Applications 2022 DOI: 10.1108/DTA-09-2021-0233
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• Data Sampling Strategies for Click Fraud Detection Using Imbalanced User Click Data of Online Advertising: An Empirical Review
  IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India) 2021 DOI: 10.1080/02564602.2021.1915892
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• Gradient boosting learning for fraudulent publisher detection in online advertising
  Data Technologies and Applications 2021 DOI: 10.1108/DTA-04-2020-0093
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• Quad division prototype selection-based k-nearest neighbor classifier for click fraud detection from highly skewed user click dataset
  Engineering Science and Technology, an International Journal 2021 DOI: 10.1016/j.jestch.2021.05.015
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• A comparative performance of classification algorithms in predicting alcohol consumption among secondary school students
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-0923-6_45
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• Prediction of Diabetes using Classification Algorithms
  Procedia Computer Science 2018 DOI: 10.1016/j.procs.2018.05.122
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• Fast and accurate face recognition using SVM and DCT
  Advances in Intelligent Systems and Computing 2014 DOI: 10.1007/978-81-322-1602-5_108
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