A framework for identifying the linkability between Web servers for enhanced internet computing and E-commerce

Abstract

Existing Web session tracking techniques mainly work on huge web server log files, which limit their dynamicity and capability. We present a collaborative method for session tracking to identify direct and indirect web server interactions. The outcome could lead to building partnerships between organizations that do e-business, adapting links on websites to user click behavior, and deciding on the particular services offered by websites. We implemented a prototype that showed the usefulness and effectiveness of the system. We describe the significance and applications of our approach in e-commerce through information that describes traffic flows between websites.

Penerapan Midtrans sebagai Sistem Verifikasi Pembayaran pada Website iPanda

“…Data laporan pembelian pada website iPanda disimpan dalam database yang terdapat pada web server yang digunakan untuk mempermudah proses manipulasi data. Web server tersebut dikelola oleh admin, maka dalam penerapannya dibutuhkan tampilan laporan pembelian untuk melihat transaksi pembelian hosting dan domain iPanda pada midtrans.com [24].…”

Data Web Mining in E-Commerce: Progress and Perspectives

“…Web usage mining (WUM), which represents a way to comprehend and handle customers' web comportment [18], is considered to be the main mode of monitoring market evolution, as customers cannot essentially be seen only in content and structure mining [2], [25]. The application of web usage mining in the e-commerce include customer analysing, website optimization, web personalization, and business intelligence [18].…”

“…Association rule is a methods frequently used in the web usage mining, which supports web site to acquire a more efficient content organization, finding associations between pages that regularly appear next to one another in user sessions. This represents a powerful tool for adapting to market changes, and help e-businesses to analyse customer behaviours [2]. Frequent pattern discovery is used in web usage mining to find user navigation patterns which frequently occur.…”

“…Electronic computing tools, if used, were designed to streamline the process of processing and sending commercial documents, such as invoices [1]. After this period, with the first shy, and then explosive evolution of the Internet and the proliferation of web servers, online commerce, or as it is commonly knownelectronic commerce or e-commerce -is beginning to grow rapidly [2], because of its advantages over traditional business: faster speed and lower expenses [3]. In the early 2000, management expert Peter Drucker predicted that online commerce would essentially influence the way that business would be done [4], and the present days prove that its predictions are completely accurate.…”