A Digital Microfluidic Biochip (DMFB) offers a promising platform for medical diagnostics, DNA sequencing, Polymerase Chain Reaction (PCR), and drug discovery and development. Conventional Drug discovery procedures require timely and costly manned experiments with a high degree of human errors with no guarantee of success. On the other hand, DMFB can be a great solution for miniaturization, int...

The direction of the contemporary mobile computing is towards heterogeneous networking and seamless integration with physical surroundings, commonly known as smart spaces. The interoperability issues raised by this trend have resulted in numerous service discovery protocols with varying designs. However, the requirements regarding the management aspects of smart spaces, inherent in the trend, h...

Applying Data Mining and Knowledge Discovery to complex industrial problems is an increasing trend. The authors have been involved in researching and applying data mining to fault management and development testing of high-speed telecommunications systems. This paper discusses the strategies undertaken for data mining these applications using Telecommunications Management Network (TMN) data.

This paper addresses the problem of scientific research analysis across multiple research literature collections. We use topic modeling in three novel comparative tasks: (1) unsupervised discovery and comparison of scientific topics across multiple disciplines; (2) comparison of topics within the same discipline; (3) analysis of topic evolution over time within and across disciplines and trend ...

despite diagnostic, preventive and therapeutic advances, growing incidence of cancer and high rate of mortality among patients affected by specific cancer types indicate current clinical measures are not ideally useful in eradicating cancer. chemoresistance and subsequent disease relapse are believed to be mainly driven by the cell-molecular heterogeneity of human tumors that necessitates perso...

the rapid growing of information technology (it) motivates and makes competitive advantages in health care industry. nowadays, many hospitals try to build a successful customer relationship management (crm) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. many hospitals have large data warehouses containing customer ...

the ability to discover services in mobile ad hoc network (manet) is a major prerequisite. cluster basedcross layer intelligent service discovery for manet (cbisd) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. the cluster basedarchitecture using semantic knowledge provides scalability and accuracy. also, the mini...

The aim of this chapter is to present the main statistical issues in Data mining (DM) and Knowledge Data Discovery (KDD) and to examine whether traditional statistics approach and methods substantially differ from the new trend of KDD and DM. We address and emphasize some central issues of statistics which are highly relevant to DM and have much to offer to DM.

How to detect potential useful technical information hidden in patents and scientific papers is crucial for technology trend forecasting research opportunities. Using the text mining method extract helpful assisting strategic decision-making predicting tendency of technological development. This study proposes a framework combine patent analysis paper predict trends discover By information, we ...