Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
Linear constraint databases and query languages are appropriate for spatial database applications. Not only the data model is natural to represent a large portion of spatial data s...
We present UDP datagram demultiplexing techniques that can yield potentially substantial applicationindependent performance gains over BSD-derived UDP implementations. Our demulti...
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
In this paper, we discuss the issues in automatic recognition of vowels in Persian language. The present work focuses on new statistical method of recognition of vowels as a basic...
Mohammad Nazari, Abolghasem Sayadiyan, Seyyed Maji...