Name
Abstract | ||
|---|---|---|
Change Point Discovery (CPD) and Constrained Motif Discovery (CMD) are two essential problems in data mining with applications in many fields including robotics, economics, neuroscience and other fields. In this paper, we show that these two problems are related and report the development of a MATLAB Toolbox (CPMD) that encapsulates several useful algorithms including new variants to solve these two related problems. The Toolbox is then used to study the effect of distance function choice in CPD. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31087-4_13 | IEA/AIE |
Keywords | Field | DocType |
data mining,change point,motif discovery,matlab toolbox,new variant,change point discovery,constrained motif,essential problem,distance function choice,related problem,useful algorithm | Data mining,Car–Parrinello molecular dynamics,Computer science,Matlab toolbox,Toolbox,Metric (mathematics),Motif (music),Theoretical computer science,Artificial intelligence,Robotics | Conference |
Citations | PageRank | References |
2 | 0.46 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasser Mohammad | 1 | 9 | 1.27 |
| Yoshimasa Ohmoto | 2 | 63 | 17.13 |
| Toyoaki Nishida | 3 | 1097 | 196.19 |