Learn More
— In this paper, we present a novel algorithm for mining complete frequent itemsets. This algorithm is referred to as the TM (Transaction Mapping) algorithm from hereon. In this algorithm, transaction ids of each itemset are mapped and compressed to continuous transaction intervals in a different space and the counting of itemsets is performed by(More)
We consider the issue of query and data propagation in the context of geosen-sor networks over geo-aware sensors. In such networks, techniques for efficient propagation of queries and data play a significant role in reducing energy consumption. Georouting is a new technique for the broadcasting of localized data and queries in geo-aware sensor networks; it(More)
The principal objective of this project was to compare the results of different land use and land cover change detection approaches: traditional post-classification cross-tabulation, cross-correlation analysis, neural networks, knowledge-based expert systems, and image segmentation and object-oriented classification. A combination of both direct T 1 to T 2(More)
This paper reflects our experience with CQA/CDB, a prototype rational linear constraint database. First, we show that the standard semantics of constraint databases lead to an anomaly when queried in the presence of missing attributes. In CQA/CDB, this anomaly is avoided by enriching the CDB relational schema, resulting in heteroge-nous databases. Then, we(More)
Microarrays serve scientists as a powerful and efficient tool to observe thousands of genes and analyse their activeness in normal or cancerous tissues. In general, microarrays are used to measure the expression levels of thounsands of genes in a cell mixture. Gene expression data obtained from microarrays can be used for various applications. One such(More)