Predictive Analytics with Sequence-based Clustering and Markov Chain

This research proposes a predictive modeling framework for Web user behavior with Web usage mining (WUM). The proposed predictive model utilizes sequence-based clustering, in order to group Web users into clusters with similar Web browsing behavior and Markov chains, in order to model Web users’ Web navigation behavior. This research will also provide a performance evaluation framework and suggest WUM systems that can improve advertisement placement and target marketing in a Web site

Development of a Computer-Integrated Manufacturing Simulation Model: A Hybrid Systems Approach.

The key to the successful factory of the future will be the effective coordination of managerial functions and production operations. The research presented in this dissertation addresses this coordination issue, especially in terms of understanding the impact and possibilities which exist in an information-rich environment. Such an environment is often referred to in the literature as being a computer-integrated manufacturing (CIM) environment. An interactive simulation modeling program, MOSES (Manufacturing Organization Simulation and Evaluation System), was developed for the purpose of describing, analyzing, and understanding such manufacturing. MOSES is a copyrighted computer program, a menu-driven, interactive, simulation modeling tool. MOSES users are able to define the manufacturing environment to be simulated by keying in data values (e.g., products, bills of material, and production rates) which describe the organization. MOSES then uses these data values to build the manufacturing simulation model. That is, once the manufacturing parameters have been defined, MOSES can simulate the manufacturing organization (from orders through distribution) without the user having to write any computer code or having to understand the principles of simulation modeling. MOSES users are then able to interact with the manufacturing organization as managers in the dynamic simulation environment. This interactive capability allows MOSES users to test various manufacturing scenarios, watch the model\u27s progress from the perspectives of different organizational functions (e.g., from marketing or from production), override model-generated decisions (e.g., by changing the demand forecast), and view the results. The MOSES approach to simulation modeling differs from traditional approaches. In short, MOSES uses both mathematic and logical modeling principles, employs traditional simulation modeling techniques but in combination with database technology, and includes the user as an integral component in the simulation process

Adoption and Diffusion of Blockchain Technology among Supply Chain Partners: Insights from Twitter Data

Increasing complexity and global nature of supply chains is driving greater demand for reliability, end-to-end transparency and traceability of transactions, in a very timely manner. A new IT innovation – blockchain - is finding use in addressing the aforementioned challenges of supply chains. Our research proposes to investigate the adoption of blockchain technology in supply chains using the Twitter data. More and more companies are using Twitter to communicate about their products and supply chain innovations. These tweets can provide rich insights into the adoption and diffusion behavior of entities in supply chains. Our model identifies key characteristics important for successful blockchain adoption in supply chains and proposes a novel approach of mining Twitter data to test our model

Giant Asterional Dermoid Cyst with Dermal Sinus; a Case Report

Background: Dermoid cyst with dermal sinus in occipital region is extremely rare occurrence and still rarer in asterion region. We report a case of dermoid cyst with dermal sinus at the asterion probably the second case of world literature and discuss the findings. Case Presentation: 16 year-old female patient with mental retardation and inability to speak since childhood presented with history of progressive increasing swelling since childhood over the left side of occipital region. Local examination and investigations were suggestive of extracranial cystic lesion. The lesion was excised completely. When excision of such lesions is contemplated, careful attention must be paid during exploration. Conclusion: Failure to recognize intracranial communication in such lesions may result in fatal consequences. Pre-operative suspicion of such a connection helped us to identify the underlying defect intra-operatively and facilitated safe excision