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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 intersecting(More)
In this paper, a unique approach for road extraction utilizing pixel spectral information for classification and image segmentation-derived object features was developed. In this approach, road extraction was performed in two steps. In the first step, support vector machine (SVM) was employed merely to classify the image into two groups of categories: a(More)
Helicobacter pylori is a highly successful bacterium with a high global prevalence and the infection carries significant disease burden. It is also becoming increasingly difficult to eradicate and the main reason for this is growing primary antibiotic resistance rates in a world where antibiotics are frequently prescribed and readily available. Despite(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)
Microarrays serve scientists as a powerful and efficient tool to observe thousands of genes and analyze their activeness in normal or cancerous tissues. In general microarrays are used to measure the expression levels of thousands of genes in a cell mixture. Gene expression data obtained from microarrays can be used for various applications. One such(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)