1 / 9

Incremental Mining of Association Rules

Incremental Mining of Association Rules. Vikram Pudi Database Systems Lab, SERC Indian Institute of Science. Underlying Problem . A, B, C  D, E ( support , confidence ) where Find all rules which satisfy minsupp Find all itemsets which satisfy minsupp. Incremental Mining.

rpaige
Download Presentation

Incremental Mining of Association Rules

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Incremental Mining of Association Rules Vikram Pudi Database Systems Lab, SERC Indian Institute of Science

  2. Underlying Problem • A, B, C  D, E (support, confidence) • where • Find all rules which satisfy minsupp • Find all itemsets which satisfy minsupp

  3. Incremental Mining • Mining is not a one-time operation • Why not use previous mining results? • Issues • Insertions, Deletions • Skew of Increment • Change in minsupp Mining Data Business Strategy (feedback)

  4. Fast UPdate (FUP) • An itemset that wasn’t large before, can now become large only if it is large within the increment. • Makes Multiple Passes • Doesn’t compute negative border • Doesn’t handle change in minsupp

  5. Other Algorithms • TBAR • One pass over original database • Multiple passes over increment • Borders • One pass over original database • Two passes over increment • Explosion of candidates • Don’t handle change in minsupp

  6. DELTA • One pass over original database • Three passes over increment • Performance close to IDEAL • Handles change in minsupp

  7. Performance of DELTA

  8. Generalized Rules • Cereal  Milk (support, confidence) • Algorithms • Cumulate • Stratify • Stratify Variants • DELTA+ • IDEAL Cereal Rice Wheat

  9. Performance of DELTA+

More Related