Adaptable Algorithm for Designed Web Process Sequence Data Analysis

摘要: ABSTRACT A significant interest for Web process design is to discover the discrepancies between users' transaction sequences and desired sequence process. Sequence data analysis has been an important approach analyzing log in e-commerce field. There have many methods analysis; however, few existing can be applied designed improving design. This paper proposes adaptable matching algorithm discovering knowledge about An application of this a case online shopping cart abandonment presented. Keywords: design, analysis, sequences, abandonment. (ProQuest: ... denotes formulae omitted.) 1. Introduction business carried out on World Wide Web. Traditionally, studied field workflow [Cardoso & Sheth 2003; Cardoso 2006]. Recent research suggested that page impact consumers' attitude behavior towards processes [Chatterjee 2008]. right must meet specific needs consumers [Zhou et al. 2004; Shergill Chen 2005; Singh (i.e., user click-stream sequences) represent access behaviors carrying processes. Massive used general patterns these [Wen 2007; Greco Guzzo 2007]. These are useful us understand as well problems For instance, by store, one might able more why shoppers abandon carts so often, how site improved reduce presents method In literature, various proposed analyze [Cadez 2000; Ester 2002; Jiang Tuzhilin 2006; Mobasher al.2002; Manavoglu Yang Padmanabhan 2005]. general, aim at interesting sets [Fayyad 1996; Pei 2004]. Common approaches include time series (e.g., [LeBaron Weigend 1998]), association rules induction [Lee 2003]), pattern discovery [Dutta 2007]). While reports emphasizing performance algorithms, exploring applications results directly imperative [Wu 2000]. paper, we present new diagnosis reveal information develop The remainder organized follows. First, provide brief overview discussion major data. Next, Then, Finally, conclude with summary study. 2. Related Work: Methods Process Data Analysis topic extensively through management [Ould 1995; Rozinat van der Aalst 2008; …