Cluster Analysis is a popular data analysis and mining technique. High quality fast clustering algorithms play vital role for users to navigate, effectively organize the summarize data. Ant Colony Optimization (ACO), Swarm Intelligence technique, integrated with algorithms, being used by many applications past few years. In this paper we discuss recent improvements on like PP (Project Pursuit) based ACO algorithm high dimensional data, of Data Clustering ACO, application Ant-based object...

These days large amount of data is generated by social media such as Twitter, Facebook and YouTube etc. kinds have very complicated structures which causes difficulty with respect to capturing, storing, analyzing, clustering visualization data. Recently, has caught the attention researchers. For this, distinct algorithms K-Means are suggested cluster There a need for an algorithm that able in lesser time, case stream. Hence use parallel distributed environment using map-reduce framework....

Offers on e-commerce websites have been mostly a decision made by companies for advertising or clearing stocks. KAAL algorithm was used sample transaction data to generate frequent itemsets. These itemsets will give an idea of offers be purchase base items. With advent internet, the amount being generated business processes is growing exponentially. This paper makes use Hadoop MapReduce framework association rules stream. are suggested spontaneously as at runtime. The concludes that...

In today's scenario, blogging, especially micro has become an integral part of our day to life. Millions web users connected through social networks like Twitter and so on share their opinions different aspects life every day, thus making blogs rich sources data containing diverse views perspectives a wide arena people. But the humungous volume twitter feeds poses problem analysts. paper we propose novel model for collection in which collect sample expert tweets instead following...

Text document classification is the process of assigning class labels to text documents by training a model using large enough corpus. It more complex than other conventional data mining algorithms which deal with known attributes and finite set possible values for each attribute. because time effort are required pre-processing textual data. Thorough proper representation cleaned reduced essential obtaining effective results from process. In this work, an approach proposed association rule...

This paper addresses the challenges in Sign Language Recognition Systems (SLR) and Translation (SLT), focusing on translation of sign language to text/speech reverse process. The unique grammatical structures languages pose a core problem, prompting development computational models. (SLT) module, translating recognized gloss into spoken text, presents formidable challenge due semantic intricacies. Additionally, need for diverse datasets, including various dialects India, further complicates...

Diagnosis is necessary to confirm SARS-CoV-2 infection. Imaging methods are vital in aiding the diagnosis, assessing disease severity, directing treatment, identifying complications, and monitoring response treatment. The lungs foremost organ impacted, chest X-rays preferred initial imaging exam due their accessibility cost-effectiveness, whether obtained at conventional X-ray centers or using portable equipment. This research study has used a combination of virus-infected people as dataset....

While the rise of social media swept globe, in recent years, a discussion concerning technology's ramifications has gained traction. Two key concerns, particular, are concerns about user privacy and data, as well centralized authority, including censorship. Because these two areas directly related to technical issues that decentralization addresses, there is growing interest blockchain-based data-sharing multimedia applications such Instagram. This application prototypes clone Instagram,...

An overview of Gas Turbine Engine Development, KAVERI, the power plant for Light Combat Aircraft (Tejas) and a description validated numerical tools, aerothermodynamic mechanical test facilities Research Establishment (GTRE) are presented. The KAVERI engine compressor, combustion system, turbine, analytical blade heat transfer, exhaust Integrated Nozzle Actuation System (INAS), Non-intrusive Stress Measurement (NSMS) thermal paint tests described in detail.

Understanding student’s thinking ability, strengths, weaknesses, learning behavior and their capacity are essential considerations in the virtual environment (VLE). The prime objective of this research study is to design a ‘Student Model’ based on individual’s ‘bio-psychological potential’. Defining student model crucial for an Intelligent Tutoring System (ITS) adapt needs knowledge individual student. Psychometric Assessments were used as diagnostic tools understand cognitive personality...

Aero Gas Turbine engines power aircrafts for civil transport application as well military fighter jets. Jet pipe casing assembly is one of the critical components such an engine. The objective to carry out required aerodynamic performance with a simultaneous structural performance. located in rear end engine would, case jet, consist After Burner also called reheater which used thrust augmentation meet additional requirement demanded by combat environment war field. combustion volume burner...

Time banking is a mode of exchange that lets people to use time as currency instead money. By registering in bank, agree take part system involves earning and spending ‘Time Credits’. When they spend unit on an activity serve others, receive one credit. Later when need service from can the credits have earned saved. are also transferable their nominees. Block Chain technology used implement this design ensure robustness, transparency security. Ethereum, which public protocol was remove third...