Name
Abstract | ||
|---|---|---|
Compared with traditional association rule mining in the structured world (e.g. Relational Databases), mining from XML data is confronted with more challenges due to the inherent flexibilities of XML in both structure and semantics. The major challenges include 1) a more complicated hierarchical data structure; 2) an ordered data context; and 3) a much bigger size for each data element. In order to make XML-enabled association rule mining truly practical and computationally tractable, we propose a practical model for mining association rules from XML documents and demonstrate the usability and effectiveness of model through a set of experiments on real-life data. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1135777.1135966 | WWW |
Keywords | Field | DocType |
data mining,xml document,relational database,association rule mining,association rule,xml | Data mining,Efficient XML Interchange,Predictive Model Markup Language,Information retrieval,Computer science,XML validation,Document Structure Description,XML database,XML schema,XML Schema Editor,XML Signature | Conference |
ISBN | Citations | PageRank |
1-59593-323-9 | 1 | 0.35 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rahman Ali Mohammadzadeh | 1 | 1 | 0.35 |
| Sadegh Soltan | 2 | 1 | 0.35 |
| Masoud Rahgozar | 3 | 72 | 8.77 |