A transaction-based recommender system (TBRS) aims to predict the next item by modeling dependencies in transactional data. Generally, two kinds of considered are intra-transaction dependence and inter-transaction dependence. Most existing TBRSs recommend only within current transaction while ignoring with recent transactions that may also affect item. However, as not all relevant items, ones s...

Existing algorithms for high-utility itemsets mining are column enumeration based, adopting an Apriorilike candidate set generation-and-test approach, and thus are inadequate in datasets with high dimensions or long patterns. To solve the problem, this paper proposed a hybrid model and a row enumerationbased algorithm, i.e., Inter-transaction, to discover high-utility itemsets from two directio...

Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides “inter-transaction” analysis (Agrawal & Srikant, 1995). Applications for sequential pattern extraction are numerous and the problem definition has been slightly modified in different ways. Associated to elegant sol...

Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides “inter-transaction” analysis (Agrawal & Srikant, 1995). Applications for sequential pattern extraction are numerous and the problem definition has been slightly modified in different ways. Associated to elegant sol...

INTRODUCTION Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides " inter-transaction " analysis (Agrawal and Srikant, 1995). Applications for sequential pattern extraction are numerous and the problem definition has been slightly modified in different ways. Associat...

This paper presents an approach to improving database performance by combining parallelism of multiple independent transactions and parallelism of multiple sub-transactions within a transaction. An experimental prototype has been built that supports this combination of inter-and intra-transaction parallelism based on the framework of multi-level transaction management. A performance study for a...

Abstract The aim of this study is to analyse inter-firm corruption and ascertain whether the proximity firms engaged in a significant factor. We draw on transaction cost theory explore two forms corrupt exchange (negotiated vs. productive) role reducing costs. obtained original data from judgements Italian Court Cassation clustered homogeneous proximities. then used separate binomial logistic r...