The staggering growth in smartphone and wearable device use has led to a massive scale
generation of personal (user-specific) data. To explore, analyze, and extract useful …

This paper provides some practical guidelines for the design of data mining frameworks. It
describes the rationale behind some of the key design decisions that guided the design …

Spatiotemporal data mining is an emerging area of research. Applications for mining
different kinds of spatiotemporal patterns and trends are being developed by researchers in …

In this paper a new architecture for a variety of data mining tasks is introduced. The Device-
Based Software Architecture (DBSA) is a highly portable and generic data mining software …

The purpose of this study was to develop a product design model for estimating the impact
toughness of low-alloy steel plates. The rejection probability in a Charpy-V test (CVT) is …

The increasing significance of data mining in many application domains of computational
technology has resulted in a considerable body of work concerned with designing …

The purpose of this study was to develop a product design model for estimating the impact
toughness of low alloy steel plates. The rejection probability in a Charpy V test is predicted …

结合数据流的特点, 提出了一种面向数据流挖掘的过程模型PM-DSM. 针对目前数据流挖掘过程
中存在算法众多但利用率低的问题, 提出了一种基于Web 服务的数据流挖掘过程模型算法管理 …

Abstract Knowledge discovery (KD) technology is used to extract knowledge from large
quantities of digital data in an automated fashion. The established process model represents …

The purpose of this study was to develop a product design model for impact toughness
estimation of low-alloy steel plates. Based on these estimates, the rejection probability of …