A complex quantity slide rule

A Novel Quantity based Weighted Association Rule Mining

Classical association rule mining algorithm discovers frequent itemsets from transactional databases by considering the appearance of the itemset and not other utilities such as profit of an item or quantity in which items bought. But in transactional databases large quantity of items is purchased may lead to very high profit even though items appeared in few transactions. Therefore the quantit...

Quantity Values in Association Rule Mining Using P-Trees

Association Rule Mining (ARM) in Market Basket Research (MBR) is most commonly used on binary data in databases (the customer bought/didn’t_buy values for each item). There are ARM techniques that address quantity data (how many did the customer buy) but using quantity data presents problems with storage and processing time. Peano Tree technology can respond to both types of problems because of...

Information Quantity-based Decision Rule Acquisition from Decision Tables

Decision rule acquisition is widely used in data mining and machine learning. In this paper, the limitations of the current approaches to reduct for evaluating decision ability are analyzed deeply. Two concepts, i.e. information entropy and information quantity, and the process of constructing decision tree for acquiring decision rule are introduced. Then, the standard of classical significance...

Monitoring Complex Rule Conditions

This chapter describes and discusses the problem of efficient checking of complex rule conditions expressed as database queries. For this several methods have been proposed that are based on the technique of incremental evaluation. With incremental evaluation the state of a rule condition is materialized and, after an update, the new state of the condition is defined incrementally in terms of d...

The Healthy Food Slide Rule (HFSR): a nutrition education tool for children.