Extending the L* Process Mining Model with Quality Management and Business Improvement Tools and Techniques

Selle lõputöö ülesandeks on leida, kas L* elutsükli mudelit on võimalik laiendada Six Sigma DMAIC mudeli, ISO 9001:2008 kvaliteedijuhtimissüsteemi ja äriparandusraamistikega nagu Baldrige Criteria for Performance ExcellenceTM äri ja mittetulundusühingutele ning European Foundation for Quality Management Excellence ModelTM. Protsessikaevandamisprojektiga, mille L*elutsükli mudel laiendati Six Sigma DMAIC metoodikaga, seotud töö viidi läbi Itaalia IT firmas, kasutades andmeid firma abilauast ning tarkvara kvaliteedikontrolli tegevustest. Firmas läbi viidud töö näitab, et DMAIC tsükkel saab pakkuda laiendatud raamistikku L* elutsükli mudelile selle kõikides staadiumites, kasutades tänapäevaseid protsessikaevandamistehnikaid ning -tarkvara.The purpose of this thesis is to determine whether is possible to expand the L*life-cycle model with Six Sigma’s DMAIC model, the ISO 9001:2008 Quality Management System, and business improvement frameworks like the Baldrige Criteria for Performance Excellence for Business and NonprofitTM, and the European Foundation for Quality Management Excellence ModelTM. The work related to the Process Mining project where the L* life-cycle model was expanded with Six Sigma’s DMAIC model has been conducted in an Italian IT Company with data from company’s Help Desk and Software Quality Assurance operations. The work conducted in the company pursues in proving that the DMAIC cycle can provide an expanded framework for the L* life-cycle model in all of its stages while employing state of the art Process Mining techniques and Process Mining software

Theory and Applications for Advanced Text Mining

Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields

Process-Oriented Information Logistics: Aligning Process Information with Business Processes

During the last decade, research in the field of business process management (BPM) has focused on the design, modeling, execution, monitoring, and optimization of business processes. What has been neglected, however, is the provision of knowledge workers and decision makers with needed information when performing knowledge-intensive business processes such as product engineering, customer support, or strategic management. Today, knowledge workers and decision makers are confronted with a massive load of data, making it difficult for them to discover the information relevant for performing their tasks. Particularly challenging in this context is the alignment of process-related information (process information for short), such as e-mails, office files, forms, checklists, guidelines, and best practices, with business processes and their tasks. In practice, process information is not only stored in large, distributed and heterogeneous sources, but usually managed separately from business processes. For example, shared drives, databases, enterprise portals, and enterprise information systems are used to store process information. In turn, business processes are managed using advanced process management technology. As a consequence, process information and business processes often need to be manually linked; i.e., process information is hard-wired to business processes, e.g., in enterprise portals associating specific process information with process tasks. This approach often fails due to high maintenance efforts and missing support for the individual demands of knowledge workers and decision makers. In response to this problem, this thesis introduces process-oriented information logistics(POIL) as new paradigm for delivering the right process information, in the right format and quality, at the right place and the right point in time, to the right people. In particular, POIL allows for the process-oriented, context-aware (i.e., personalized) delivery of process information to process participants. The goal is to no longer manually hard-wire process information to business processes, but to automatically identify and deliver relevant process information to knowledge workers and decision makers. The core component of POIL is a semantic information network (SIN), which comprises homogeneous information objects (e.g., e-mails, offce files, guidelines), process objects (e.g., tasks, events, roles), and relationships between them. In particular, a SIN allows discovering objects linked with each other in different ways, e.g., objects addressing the same topic or needed when performing a particular process task. The SIN not only enables an integrated formal representation of process information and business processes, but also allows determining the relevance of process information for a given work context based on novel techniques and algorithms. Note that this becomes crucial in order to achieve the aforementioned overall goal of this thesis

Proceedings of the WABER 2017 Conference

The scientific information published in peer-reviewed outlets carries special status, and confers unique responsibilities on editors and authors. We must protect the integrity of the scientific process by publishing only manuscripts that have been properly peer-reviewed by scientific reviewers and confirmed by editors to be of sufficient quality. I confirm that all papers in the WABER 2017 Conference Proceedings have been through a peer review process involving initial screening of abstracts, review of full papers by at least two referees, reporting of comments to authors, revision of papers by authors, and reevaluation of re-submitted papers to ensure quality of content. It is the policy of the West Africa Built Environment Research (WABER) Conference that all papers must go through a systematic peer review process involving examination by at least two referees who are knowledgeable on the subject. A paper is only accepted for publication in the conference proceedings based on the recommendation of the reviewers and decision of the editors. The names and affiliation of members of the Scientific Committee & Review Panel for WABER 2017 Conference are published in the Conference Proceedings and on our website www.waberconference.com Papers in the WABER Conference Proceedings are published open access on the conference website www.waberconference.com to facilitate public access to the research papers and wider dissemination of the scientific knowledge