Now showing items 1-5 of 5
Associating Absent Frequent Itemsets with Infrequent Items to Identify Abnormal Transactions
Data stored in transactional databases are vulnerable to noise and outliers and are often discarded at the early stage of data mining. Abnormal transactions in the marketing transactional database are those transactions ...
A Fuzzy ART2 Model for Finding Association Rules in Medical Data
(IEEE Computer Society, 2010-09)
This paper describes a model that discovers association rules from a medical database to help doctors treat and diagnose a group of patients who show similar prehistoric medical symptoms. The proposed data mining ...
Unsupervised and Fast Continent Classification of Digital Image Collections using Time
(IEEE Computer Society, 2010-08)
Advances in storage capacity means that digital cameras can store huge collections of digital photographs. Typically such images are given non-descriptive filenames names such as a unique identifier, often an integer. ...
Discovering Fuzzy Association Rules from Patient's Daily Text Messages to Diagnose Melancholia
(IEEE Press, 2010)
With the constant stress from work load and daily life people may show symptoms of melancholia. However, most people are reluctant to describe it or may not know that they already have it. In this paper a novel system ...
Experiences with RFID-Based Interactive Learning in Museums
Tourism plays an important role in the economies of many countries. Tourism can secure employment, foreign exchange earnings, investment and regional development. To attract more tourists and local visitors, many stakeholders ...