Data Mining and Predictive Analytics

Contents: Preface. 1. Minability and predictability of data/Anil Kumar S. 2. Prediction of online shopper’s purchasing intention using logistic regression/Manas Rahman and V. Kumar. 3. Multi-spectral image classification using CNN with Alexnet/Anjuraj V.P and V Kumar. 4. Clinical decision support system: prediction of heart disease using neural networks/B. Laxman and V. Kumar. 5. Time series classification using key points and shapelets/Silpa K and V. Kumar. 6. A comparative study on unsupervised clustering machine learning algorithm/Leo Vattoly. 7. Cyber security: vulnerabilities and attacks/Ashfaq Ahmad Najar and Manohar Naik S. 8. Early prediction of chronic kidney disease using data mining algorithms/Midhun P M and V Kumar. 9. Improvement of pest image detection using saliency map and iterative method/Nishaban P K, Thasleema T M and R Rajesh. 10. Image denoising using an improved nonlocal means approach/Navya C. John and Manohar Naik S. 11. Optimal configuration selection for deploying big data applications in cloud/M B Smithamol. 12. Segmentation of grayscale images with single and multiple objects using transition regions/Sreelekshmi M S and Manohar Naik S. 13. Ring-Learning with errors (ring-LWE) Cryptography based secure fingerprint authentication system/Soumen Das and Manohar Naik S. 14. An overview on cyber attacks: impacts and mitigations/Hashida Haidros Rahima Manzil and Manohar Naik S.…