2013/01/01 by Dominik Ślȩzak, Piotr Synak, Arkadiusz Wojna +1 · 1 citation
Computer Science · #Rough Sets and Fuzzy Logic #Data Mining Algorithms and Applications #Data Management and Algorithms #Computer science #Query optimization #Rough set #Database #Information retrieval #Data mining
paper · doi:10.3233/fi-2013-920
openalex publication_date 2013/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
We present analytic data processing technology derived from the principles of rough sets and granular computing. We show how the idea of approximate computations on granulated data has evolved toward complete product supporting standard analytic database operations and their extensions. We refer to our previous works where our query execution algorithms were described in terms of iteratively computed rough approximations. We explain how to interpret our data organization methods in terms of classical rough set notions such as reducts and generalized decisions.