Loading...
Please wait, while we are loading the content...
Similar Documents
Towards a new approach for mining frequent itemsets on data stream.
| Content Provider | CiteSeerX |
|---|---|
| Author | Jain, Shailendra Patil, Sonal |
| Abstract | From the advent of association rule mining, it has become one of the most researched areas of data exploration schemes. In recent years, implementing association rule mining methods in extracting rules from a continuous flow of voluminous data, known as Data Stream has generated immense interest due to its emerging applications such as network-traffic analysis, sensor-network data analysis. For such typical kinds of application domains, the facility to process such enormous amount of stream data in a single pass is critical. Nowadays, many organizations generate and utilize vast data streams (Huang, 2002). Employing data mining schemes on such massive data streams can unearth real-time |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Data Stream New Approach Mining Frequent Researched Area Sensor-network Data Analysis Network-traffic Analysis Immense Interest Single Pas Vast Data Stream Application Domain Continuous Flow Association Rule Mining Many Organization Massive Data Stream Data Exploration Scheme Data Mining Scheme Enormous Amount Voluminous Data Recent Year Typical Kind Stream Data Association Rule |
| Content Type | Text |
