Web services are used for developing and integrating highly distributed and heterogeneous systems in different domains such as e-business, grid services, and e-government systems. Web services discovery is a key to dynamically locating desired web services across the Internet. Prevailing research trend is to dynamically discover and compose web services in order to develop composite services th...

Web service is a major trend in the industry for loosely coupled service-oriented architecture and interoperable solutions across heterogeneous platforms and systems. It receives profound attention and adoption by the industry as well as standard bodies. The traditional web service discovery is based on one-way request/response interaction pattern that a client (service consumer) makes a servic...

Antibiotics are the medical wonder of our age, but an increasing frequency of resistance among key pathogens is rendering them less effective. If this trend continues the consequences for cancer patients, organ transplant patients, and indeed the general community could be disastrous. The problem is complex, involving abuse and overuse of antibiotics (selecting for an increasing frequency of re...

Different studies have pointed out Navarre as one of the regions of Spain with the highest incidence rates of brain and other central nervous system (CNS) cancer. Trend analysis for cancer incidence rates for long periods of time, might help determining risk factors as well as, assessing prevention actions involved in this disease. The objective of this study was to describe the incidence of br...

Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” Expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. Aim of this study is to address the issues for expert-finding task in real-world community. Collabor...

Temporal Mining Algorithms: Generalization and Performance Improvements Data mining consists of finding interesting trends or patterns in large datasets, in order to guide decisions about future activities. There is a general expectation that data mining tools should be able to identify these patterns in the data with minimal user input. The patterns identified by such tools can give a data ana...

Deep learning has become a favoured trend in many applications serving humanity the past few years. Since deep seeks useful investigation and can learn train huge amounts of unlabelled data, been applied fields including medical field. In this article, most noteworthy are presented shortly positively, they image recognition, automatic speech natural language processing, drug discovery toxicolog...