News (2006)

News (2006)

BNCOD 23 (2006)

David Bell, Jun Hong:

Preface.

BNCOD 2006 (LNCS 4042):

V-IX (July 2006)

Data Mining. Carson Leung, Ruppa Thulasiram and Dmitri Bondarenko propose a parallel system for detecting outliers from financial time series. In their paper, they develop an efficient parallel system to detect noise in time series security prices. The system consists of a data mining algorithm and a statistical algorithm, which run in parallel to efficiently detect noise.

Data Warehousing and Decision-support Systems and Data Streaming. Carson Leung and Wookey Lee write about efficient update of data warehouse views with generalized referential integrity differential files (GRIDFs). These self-maintain the views modelled in any schema, in a way that avoids accessing the underlying source data. The authors present experimental results to show that the method leads to efficient update of data warehouse views.