Recent advancements in recommendation systems have shifted towards more
comprehensive and personalized recommendations by utilizing large language models …

Generative machine learning models have recently been applied to source code, for use
cases including translating code between programming languages, creating documentation …

The efficiency of frequent itemset mining algorithms is determined mainly by three factors:
the way candidates are generated, the data structure that is used and the implementation …

Many techniques have been proposed to implement the Apriori algorithm on MapReduce
framework but only a few have focused on performance improvement. FPC (Fixed Passes …

Constraint solution reuse is an effective approach to save the time of constraint solving in
symbolic execution. Most of the existing reuse approaches are based on syntactic or …

Sinhala is the native language of the Sinhalese people who make up the largest ethnic
group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo …

Smart contracts belong to the most rapidly growing aspect of the world of cryptocurrencies.
This phenomenon attracts great attention from researchers but also the business community …

Abstract Knowledge discovery and data mining are fast growing fields of study that span a
variety of disciplines, including distributed systems, databases, artificial intelligence …

Tree data structures, such as red-black trees, quad trees, treaps, or tries, are fundamental
tools in computer science. A classical problem in concurrency is to obtain expressive …

Mining frequent itemsets from massive datasets is always being a most important problem of
data mining. Apriori is the most popular and simplest algorithm for frequent itemset mining …