Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

One of the most important tasks in pattern, machine learning, and data mining is
classification problem. Introducing a general classifier is a challenge for pattern recognition …

Anemia in children is becoming a worldwide problem owing to the unawareness among
people regarding the disease, its causes and preventive measures. This study develops a …

ABC classification analysis categorises inventory items into predefined classes namely A, B
and C. The limitation of the ABC system is that only one criterion is considered, however, as …

Clustering of data streams has become very popular in recent times, owing to rapid rise of
real-time streaming utilities that produce large amounts of data at varying inter-arrival rates …

Incident trend analysis is a practice where historical incident records and reports are
investigated in order to identify patterns or trends in incident root causes. It is needed to …

Cluster analysis or clustering is the task of grouping a set of objects in such a way that
objects in the same group (called a cluster) are more similar (in some sense or another) to …

A thesaurus is a reference work that lists words grouped together according to similarity of
meaning (containing synonyms and sometimes antonyms), in contrast to a dictionary, which …

One of important challenge issue in the wireless sensor networks is limitation energy in
battery of intermediate nodes, so using a suitable routing algorithm can improve this …

Previous studies demonstrate the critical importance of non-coding RNAs interfacing with
chromatin-modifying machinery resulting in promoter-enhancer-based gene regulation and …