'Finding association rules' presentation slideshows

Data Mining: Associations

Data Mining: Associations. Frequent itemsets, market baskets A-priori algorithm Hash-based improvements One- or two-pass approximations High-correlation mining. Purpose. If people tend to buy A and B together, then a buyer of A is a good target for an advertisement for B.

699 views • 61 slides

Frequent Itemset Mining & Association Rules

700 views • 59 slides

Frequent Itemset Mining & Association Rules

644 views • 59 slides

CS 361A (Advanced Data Structures and Algorithms)

CS 361A (Advanced Data Structures and Algorithms). Lecture 20 (Dec 7, 2005) Data Mining: Association Rules Rajeev Motwani (partially based on notes by Jeff Ullman). Association Rules Overview. Market Baskets & Association Rules Frequent item-sets A-priori algorithm

636 views • 47 slides

Association Rules

Association Rules. Presented by: Anilkumar Panicker. What is Data Mining??. Search for valuable information in large volumes of data. A step in knowledge discovery in databases.

334 views • 25 slides

From Data to Knowledge: Web-Based Knowledge Engineering System

From Data to Knowledge: Web-Based Knowledge Engineering System. C.-C. Chan Department of Computer Science University of Akron Akron, OH 44325-4003 USA chan@uakron.edu . Outline. Overview of Data Mining Software Tools A Rule-Based System for Data Mining Concluding Remarks.

435 views • 21 slides

Rohit Kate

368 views • 20 slides