DARA: data summarisation with feature construction

Rayner Alfred, (2008) DARA: data summarisation with feature construction. In: Kuala Lumpur , 13-15 May 2008 .

[img]
Preview
PDF
42Kb

Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract

This paper addresses the question whether or not the descriptive accuracy of the DARA (Dynamic Aggregation of Relational Attributes) algorithm benefits from the feature construction process. This involves solving the problem of constructing a set of relevant features used to generate patterns representing records in the TF-IDF weighted frequency matrix in order to cluster these records. In this paper, feature construction will be applied to enhance the results of the data summarisation approach in learning data stored in multiple tables with high cardinality of one-to-many relations. It is expected that the predictive accuracy of a classfication problem can be improved by improving the descriptive accuracy of the data summarisation approach, provided that the summarised data is fed into the target table as one of the features considered in the classification task.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords: DARA (Dynamic Aggregation of Relational Attributes) algorithm , TF-IDF weighted frequency matrix
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:FACULTY > Faculty of Computing and Informatics
ID Code:12310
Deposited By:IR Admin
Deposited On:17 Nov 2015 15:21
Last Modified:17 Nov 2015 15:21

Repository Staff Only: item control page


Browse Repository
Collection
   Articles
   Book
   Speeches
   Thesis
   UMS News
Search
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository