'Frequent pairs' presentation slideshows

Finding Similar Items: Locality Sensitive Hashing

815 views • 58 slides

CPS 196.03: Information Management and Mining

CPS 196.03: Information Management and Mining. Association Rules and Frequent Itemsets. Let Us Begin with an Example. A common marketing problem: examine what people buy together to discover patterns. What pairs of items are unusually often found together at Kroger checkout?

561 views • 45 slides

Databases 2

Databases 2. On-Line Application Processing : Warehousin g, Data Cubes , Data Mining. Overview. Traditional database systems are tuned to many, small, simple queries. Some new applications use fewer, more time-consuming, complex queries.

476 views • 39 slides

Map Reduce Architecture

496 views • 37 slides

On-Line Application Processing

On-Line Application Processing. Warehousing Data Cubes Data Mining. Overview. Traditional database systems are tuned to many, small, simple queries. Some new applications use fewer, more time-consuming, complex queries.

444 views • 36 slides

On-Line Application Processing

On-Line Application Processing. Warehousing Data Cubes Data Mining. Overview. Traditional database systems are tuned to many, small, simple queries. Some new applications use fewer, more time-consuming, analytic queries.

321 views • 32 slides

Data Mining and the Weka Toolkit

Data Mining and the Weka Toolkit. University of California, Berkeley School of Information IS 257: Database Management. Review OLAP (ROLAP, MOLAP) Data Mining with the WEKA toolkit. Lecture Outline. Related Fields. Machine Learning. Visualization. Data Mining and Knowledge Discovery.

319 views • 16 slides