Managing fraud is important for business, retail and financial alike. One method to manage fraud is by detection, where transactions, etc. are monitored and suspicious behaviour is flagged for further investigation. There is currently a lack of public research in this area. The main reason is the sensitive nature of the data. Publishing real financial transaction data would seriously compromise...

Advanced services in data compression, data storage, and data transmission have been developed and are widely used to address the required capabilities of an assortment of systems across diverse application domains. In order to reuse, integrate, unify, manage, and support heterogeneous resources, a number of works and concepts have emerged with the aim of facilitating aggregation of content and...

This study attempted to reuse the web learning portfolios to scaffold problem solving for activating students ’ Zone of Proximal Development. First, we analyzed cases from students ’ learning portfolios for getting case knowledge and student ability, and then used Case Based Reasoning technology for recommending cases to students. After students referred these cases, we adopted Data Mining tech...

A metagraph is a graph formalism that can be used to model the different components of a DSS and to analyre the interactions among them. One such component is a knowledge based system (KBS) in which domain knowledge is stored ss if-then rules. In addition to such rules, a KBS can also contain a set of integrity constraints, which are used to manage the rule base both duringnpdatesand problem so...

We review three recently proposed scan statistic methods for multivariate pattern detection. Each method models the relationship between multiple observed and hidden variables using a Bayesian network structure, drawing inferences about the underlying pattern type and the affected subset of the data. We first discuss the multivariate Bayesian scan statistic (MBSS) proposed by Neill and Cooper (...

This paper addresses the issues of structuring and supporting the collaborative data mining process. It extends the technology of multiparticipant decision making support into the data mining process and describes perspective agent-based support architecture for the data mining committees. The proposed architecture is based on the agents-facilitators integrated with layered structure of case-ba...

Efficient and privacy-preserving constructions for search functionality on encrypted data is important issues for data outsourcing, and data retrieval, etc. Fully secure anonymous Hierarchical ID-Based Encryption (HIBE) schemes is useful primitives that can be applicable to searchable encryptions [4], such as ID-based searchable encryption, temporary searchable encryption [1], and anonymous for...

In medical practice and in knowledge-based systems too, it is necessary to consider exceptions and to deal with them appropriately. In this paper, a system is presented, which helps to explain cases that do not fit to a theoretical hypothesis. It is proposed to combine Case-Based Reasoning with a statistical model, where Case-Based Reasoning is used to explain the exceptional cases. Additionall...

The limitations of current Internet-based learning systems (e.g., their inability to deal with diverse learners and requirements and the high cost of developing a new learning system) have lead to educational middleware that can handle diverse requirements and various learning components distributed over the Internet. Following the paradigm of component-oriented development we have designed a l...

Case-based reasoning (CBR) systems define knowledge in terms of a memory or library of past cases and a retrieval mechanism that revolves around retrieving data relevant to a goal query. Additionally, such systems employ an adaptation component that transforms the retrieved data into a solution to the problem expressed by the original query. The combination of goal query and the subsequent solu...