'Credit card fraud detection' diaporamas de présentation

High Performance Data Mining

High Performance Data Mining. Vipin Kumar Army High Performance Computing Research Center Department of Computer Science University of Minnesota http://www.cs.umn.edu/~kumar Research sponsored by AHPCRC/ARL, DOE, NASA, and NSF. Overview. Introduction to Data Mining (What, Why, and How?)

846 views • 66 slides

Electronic Commerce Technology (IT60104) 3-0-0 Spring 2010-11

1.16k views • 66 slides

Data Mining: Introduction and a Health Care Application

Data Mining: Introduction and a Health Care Application. Prem Swaroop (pswaroop@rhsmith.umd.edu) and Dr Bruce Golden (bgolden@rhsmith.umd.edu) Robert H Smith School of Business, University of Maryland, College Park. Data Mining: Introduction. Motivation: Why mine data

600 views • 26 slides

Artificial Intelligence 6. Machine Learning, Version Space Method

Artificial Intelligence 6. Machine Learning, Version Space Method. Japan Advanced Institute of Science and Technology (JAIST) Yoshimasa Tsuruoka. Outline. Introduction to machine learning What is machine learning? Applications of machine learning Version space method

609 views • 25 slides

Hadoop MapReduce vs Spark | Hadoop Tutorial For Beginners | Hadoop & Spark Tutorial | Edureka

( ** Apache Spark Training - https://www.edureka.co/apache-spark-s... ** ) This Edureka tutorial on MapReduce vs Spark will help you to understand the differences between MapReduce and Spark by comparing them on various parameters like: 1. Current Market Situation 2. Hadoop Map-Reduce vs Apache Spark a. Performance b. Ease of Use c. Cost d. Data Processing e. Security f. Fault Tolerance 3. Real-time example of Map-Reduce 4. Real-time example of Spark Check our complete Apache Spark and Scala playlist here: https://goo.gl/ViRJ2K

247 views • 16 slides

ANALYSIS ON CREDIT CARD FRAUD DETECTION METHODS

3.75k views • 15 slides

Credit Card Fraud Detection

Credit Card Fraud Detection. Contents. Introduction Problem Definition Proposed Solution Block Diagram Implementation Software and Hardware Requirements Benefits Results and Conclusion. Introduction. Problem Definition. Proposed Solution. e-Commerce Website. Bank. FDS. User.

580 views • 11 slides

Anomaly Detection brief review of my prospectus

205 views • 8 slides