Frequent subgraph mining is an active research topic in the data mining community. A graph
is a general model to represent data and has been used in many domains like …

Recently, workflow has been employed in pervasive computing systems to orchestrate and
provide services to the users. Since pervasive computing systems emphasise context …

In the service-oriented computing paradigm, cross-organizational applications and
information systems can be built upon services from different providers. Services are subject …

In agricultural environments, know-how and experience of skillful agricultural experts, who
may are farmers, researchers, market analysts, distribution specialists, and so on, have been …

Context-awareness and adaptability are important and desirable properties of service-based
processes designed to provide personalized services. Most of the existing approaches focus …

With the popularity of mobile services, an effective context-aware mobile service adaptation
is becoming more and more important for operators. In this paper, we propose a Co …

A pervasive computing system (PCS) requires that devices be context aware in order to
provide proactively adapted services according to the current context. Because of the highly …

This paper builds a power consumption prediction model based on artificial neural networks,
aiming at achieving accurate demand forecasting in the smart grid system as well as …

Many of works in fields of agriculture for a long time have been based on agricultural
experiences. Recently, rapid and unpredictable global climate changes and environmental …

BPEL is a standard workflow language, which interacts with Web Services and is used in
various applications. But it is difficult to use BPEL for specific applications which require …