`Travelled to:`

1 × Greece

1 × India

1 × Italy

2 × Canada

4 × USA

`Collaborated with:`

S.Morishita T.Fukuda T.Tokuyama ∅ K.Yoda H.Ishii Y.Sato T.Ichikawa H.Matsuzawa

`Talks about:`

rule (7) associ (6) optim (6) mine (5) numer (3) use (3) construct (2) algorithm (2) databas (2) region (2)

## Person: Yasuhiko Morimoto

### DBLP: Morimoto:Yasuhiko

### Contributed to:

### Wrote 10 papers:

- SAC-2005-Morimoto #mining #transitive
- Optimized transitive association rule: mining significant stopover between events (YM), pp. 543–544.
- KDD-2001-Morimoto #database #mining #set
- Mining frequent neighboring class sets in spatial databases (YM), pp. 353–358.
- VLDB-1998-MorimotoFMTY #algorithm #category theory #database #mining
- Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases (YM, TF, HM, TT, KY), pp. 380–391.
- KDD-1997-YodaFMMT
- Computing Optimized Rectilinear Regions for Association Rules (KY, TF, YM, SM, TT), pp. 96–103.
- VLDB-1997-MorimotoIM #performance
- Efficient Construction of Regression Trees with Range and Region Splitting (YM, HI, SM), pp. 166–175.
- PODS-1996-FukudaMMT #mining
- Mining Optimized Association Rules for Numeric Attributes (TF, YM, SM, TT), pp. 182–191.
- SIGMOD-1996-FukudaMMT #2d #algorithm #data mining #mining #using #visualisation
- Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization (TF, YM, SM, TT), pp. 13–23.
- SIGMOD-1996-FukudaMMT96a #named
- SONAR: System for Optimized Numeric AssociationRules (TF, YM, SM, TT), p. 553.
- VLDB-1996-FukudaMMT #performance #using
- Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules (TF, YM, SM, TT), pp. 146–155.
- SEKE-1992-SatoMI #refinement #using
- Program Refinement Using Generic Object (YS, YM, TI), pp. 18–25.