Distributed Data Mining (DDM) has become one of the promising areas of Data Mining (DM).
DDM evolved from DM from the urge to mine data from distributed sites. DM paved way for …

Проведено аналіз мультиагентних систем глибинного аналізу великих об'ємів даних,
що були розглянуті як сукупність інтелектуальних агентів і зв'язків між ними. Показано …

Distributed Data Mining (DDM) on Electronic Health Records (EHRs) has evolved in large
space aiming for effective and efficient record retrieval with minimized communication cost …

With the increasing complexity of the forms of the data (unstructured, massive, real-time, and
heterogeneous), Distributed Data mining (DDM) approaches encounters a significant …

With the increasing need of data availability and cloud-based services, distributed database
management has already gained a maximum momentum in technological advancement …

Distributed Data Mining (DDM) has become one of the promising areas of Data Mining.
DDM techniques include classifier approach and agent-approach. Classifier approach plays …

Background: To propose an architecture for DDM using Nearest Neighbour Normalization
under privacy constraints for Electronic Health Records (EHRs) and Agriculture Weather …

A multi-agent system (MAS or" self-organized system") is a computerized system composed
of multiple interacting intelligent agents. Multi-agent systems can solve problems that are …

Emerging of most advanced technologies in wireless systems have spread even in small
devices with limited communication and processing speed. Such pervasive systems are …

Distributed data mining technology has emerged as a means of identifying patterns and
trends from large quantities of data which located onto the different sites. Distributed data …