English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

A company is wound up when the company is unable to pay financial debts or is experiencing serious financial distress. From the year 1998 until 2003, an average of 1166 companies were wound up yearly. This research focuses on the knowledge exploration of wound up companies in Malaysia using association rules mining techniques (quantitative) and the involvement of domain expert in knowledge evaluation (qualitative). Association Rules Mining technique is used to mine the implicit patterns of wound up companies by analyzing relationships between attributes such as total asset, total liability and profit and loss. The human expert functions to verify the significant relation between attributes and the mined patterns. This research succeeded to mine 2 quantitative criteria and 9 qualitative criteria related to wound up companies. The criteria combination can be utilized for evaluating the risk of wound up Malaysian companies in the future.

WOUND UP MALAYSIAN COMPANIES' PATTERN EXPLORATION USING DATA MINING METHODS