'Sorted access' presentation slideshows

IO-Top-k: Index-access Optimized Top-k Query Processing

581 views • 46 slides

IO-Top-k: Index-access Optimized Top-k Query Processing

463 views • 46 slides

Best-Effort Top-k Query Processing Under Budgetary Constraints

Best-Effort Top-k Query Processing Under Budgetary Constraints. Michal Shmueli-Scheuer (IBM Haifa Research Lab and UCI). Yosi Mass, Haggai Roitman. Chen Li. Ralf Schenkel, Gerhard Weikum. Mobile Applications Highly impatient users, need fast results. Motivating Example.

532 views • 45 slides

Best-Effort Top-k Query Processing Under Budgetary Constraints

Best-Effort Top-k Query Processing Under Budgetary Constraints. Michal Shmueli-Scheuer (IBM Haifa Research Lab and UCI). Yosi Mass, Haggai Roitman. Chen Li. Ralf Schenkel, Gerhard Weikum. Mobile Applications Highly impatient users, need fast results. Motivating Example.

454 views • 45 slides

Rank Aggregation

394 views • 35 slides

Rank Aggregation

472 views • 31 slides

Combining Fuzzy Information: An Overview

Combining Fuzzy Information: An Overview. Ronald Fagin. Problem Definition. Given a collection of objects, our goal is to find Top-k objects, whose scores are greater than the remaining objects. A sample set of Databases. Attributes. Grades. Every subsystem is sorted by the grade it holds.

372 views • 28 slides

Combining Fuzzy Information: an Overview

Combining Fuzzy Information: an Overview. Author: Ronald Fagin Presented by: Bill Eberle. Overview. Introduction Model Algorithms Turning TA into an Approximation Algorithm Restricting Sorted Access Restricting Random Access. Introduction.

242 views • 15 slides