A new approach to collaborative frameworks using shared objects

Multi-user graphical applications currently require the creation of a set of interface objects to maintain each participating display. The concept of shared objects allows a single object instance to be used in multiple contexts concurrently. This provides a novel way of reducing collaborative overheads by requiring the maintenance of only a single set of interface objects. The paper presents the concept of a shared-object collaborative framework and illustrates how the concept can be incorporated into an existing object-oriented toolkit

CURIO: A fast outlier and outlier cluster detection algorithm for large datasets

Sydney, NS

Towards active conceptual modelling for sudden events

There are a number of issues for information systems which are required to collect data urgently that are not well accommodated by current conceptual modelling methodologies and as a result the modelling step (and the use of databases) is often omitted. Such issues include the fact that • the number of instances for each entity are relatively low resulting in data definition taking a disproportionate amount of effort, • the storage of data and the retrieval of information must take priority over the full definition of a schema describing that data, • they undergo regular structural change and are thus subject to information loss as a result of changes to the schema’s information capacity, • finally, the structure of the information is likely to be only partially known or for which there are multiple, perhaps contradictory, competing hypotheses as to the underlying structure. This paper presents the Low Instance-to-Entity Ratio (LItER) Model, which attempts to circumvent some of the problems encountered by these types of application and to provide a platform and modelling technique to handle rapidly occurring phenomena. The two-part LItER modelling process possesses an overarching architecture which provides hypothesis, knowledge base and ontology support together with a common conceptual schema. This allows data to be stored immediately and for a more refined conceptual schema to be developed later. LItER modelling also aims to facilitate later translation to EER, ORM and UML models and the use of (a form of) SQL. Moreover, an additional benefit of the model is that it provides a partial solution to a number of outstanding issues in current conceptual modelling systems.Sydney, NS

Discovering itemset interactions

Itemsets, which are treated as intermediate results in association mining, have attracted significant research due to the inherent complexity of their generation. However, there is currently little literature focusing upon the interactions between itemsets, the nature of which may potentially contain valuable information. This paper presents a novel tree-based approach to discovering item-set interactions, a task which cannot be undertaken by current association mining techniques

GAM: A Guidance Enabled Association Mining Environment

http://www.inderscience.com/browse/index.php?journalCODE=ijbidm and in Prin

Association Mining

The task of finding correlations between items in a dataset, association mining, has received considerable attention over the last decade. This article presents a survey of association mining fundamentals, detailing the evolution of association mining algorithms from the seminal to the state-of-the-art. This survey focuses on the fundamental principles of association mining, that is, itemset identification, rule generation, and their generic optimizations

Incremental Association Mining using a Closed-Set Lattice

The use of closed-set algorithms to generate condensed accurate representations of a dataset’s frequent itemsets has been well documented. This paper presents a novel approach to incremental association mining in which the maintenance of the set of frequent itemsets is based upon the evolution of a closed-set lattice. This approach also creates a closed-set representation of the increment dataset, providing the user with insight to the increment’s effect upon the maintained lattice and provides an effective means of incorporating windowing functionality

Mining Medical Administrative Data - The PKB Suite

Netherland

Mining medical administrative data: the PKB system

Heidelber