Name
Title | ||
|---|---|---|
Using Significant Classification Rules to Analyze Korean Customers' Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method |
Abstract | ||
|---|---|---|
Power load analysis is an important issue in electrical industry. Data mining techniques are widely studied methodology for power load analysis and it helps decision making on electrical industry. In this paper, we propose an incremental tree induction algorithm using Cascading-and-Sharing method, and use mined significant classification rules to analyze customers' power consumption behavior in General, Education and Regular groups. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CIT.2010.503 | CIT |
Keywords | Field | DocType |
korean customers,significant classification rule,power load analysis,important issue,power consumption,decision making,electricity supply industry,electrical industry,pattern classification,korean customers power consumption behavior analysis,power consumption behavior,load (electric),incremental tree induction algorithm,incremental mining,power engineering computing,regular group,data mining,data mining technique,decision tree induction,cascading-and-sharing method,incremental tree induction,significant classification rules,decision trees,electricity industry,classification algorithms | Decision tree,Data mining,Computer science,Load forecasting,Classification tree analysis,Electric power industry,Artificial intelligence,Statistical classification,Machine learning,Power consumption | Conference |
ISBN | Citations | PageRank |
978-1-4244-7547-6 | 1 | 0.35 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minghao Piao | 1 | 37 | 6.30 |
| Meijing Li | 2 | 50 | 7.60 |
| Keun Ho Ryu | 3 | 883 | 85.61 |