Context-Aware Data Mining Framework for Wireless Medical Application

Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datasets in the presence of context factors may improve performance and efficacy of data mining by identifying the unknown factors, which are not easily detectable in the process of generating an expected outcome. This paper proposes a Context-aware data mining framework, by which contexts will be automatically captured to maximize the adaptive capacity of data mining. Context could consist of any circumstantial factors of the user and domain that may affect the data mining process. The factors that may affect the mining behavior are delineated and how each factor affects the behavior is discussed. It is also observed that a medical application of the model in wireless devices offers the advantages of Context-aware data mining. A Context-aware data mining framework is quantified through a partial implementati...

• Type: Conference
• Year: 2003
• Where: DEXA
• Authors: Pravin Vajirkar, Sachin Singh, Yugyung Lee
• Keywords: Context-aware Data Mining, Data Mining, Data Mining Framework, DEXA 2003