sales data warehouse include Rupees sold (sales amount in rupees), units sold (number of units sold), and amount budgeted. The fact table contains the names of the facts, or measures, as well as keys to each of the related dimension tables. 2.2.2 Primitives of Data Mining: The users of data mining systems can communicate with it by using a set of data mining primitives designed in order to facilitate efficient and fruitful knowledge discovery. Such primitives include the specification of the portions
Overview of Predictive and Descriptive Data Mining Techniques Pradnaya P. Sondwale Abstract – The overall goal of the data mining process is extraction of information from large data sets and transform it into some understandable structure for further uses. It is a process of using different techniques to find useful patterns or models from data. This process of selects, explore and model large amount of data. Data mining can also be used in different areas of our life like social science, psychology
incoming data, organizes it, and provides ways for the data to be modified or extracted by users or other programs. Information retrieval system is activity of obtaining resources relevant to an information need from a collection of information resources. This process can be find through the passwords or keywords or query from the users. DBMS provide efficient and effectiveness in management of the database.
management approach called as big data analytics .Including big data analytics in health sector provides stakeholders, the new insights that have the capacity to advance personalized care improve patient outcomes and avoid unnecessary costs. This paper describes big data analytics and its characteristics, advantages and challenges in health care. Keywords--Big data, Analytics, Hadoop, Healthcare, Framework, Methodology, challenges; future applications I. INTRODUCTION Big data is “a term that includes large
are very critical component of the process view of organisations. They facilitate communication and coordination among different function areas and they allow easy flow and access to data, document and information across the process. The web-based system plays vital role in executing process, capturing and storing data and monitoring performance. With the current growing demand for tertiary education and intense global competition in getting a fair market share, requires strategic planning and the
rarely clear which of these ecosystem components are most critical to ecosystem function. Further, professionals and the public don't always agree on which are most valuable to consider. This increases the challenge in choosing which ecological characteristics to protect. Three principal criteria to clarify this choice are Ecological relevance, Susceptibility to known or potential stressors, and Relevance to management
present and future decisionmaking needs. The ADHR thought that CDC is at the discoverer stage of KM maturity because the organization emphasizes use of brainstorming sessions, biannual performance review meetings, development of action reviews, and presentation of annual management plans, by top management. The ADHR stated, “CDC allocates 1% of its operating budget to formal training and learning activities, but in terms of knowledge management activities, it is difficult to state because they are
Executive summary In this report I seek to perform multiple analyses on Accenture as a business entity that uses its unique set of resources, activities and capabilities that forms the basis of firm’s strategy. For this I have done the External environment analysis, internal environment analysis, SWOT analysis, competitor analysis. Also how it has tackled the dynamic external/internal environmental conditions effectively and its response to it and how Accenture has been able to decide on its strategies
together. Due to this fact, the influence of FMECA on the prevailing protection regime will probably be addressed, as good because the technical features corresponding to ease of operation for recording and transferring knowledge, accuracy to handling data for analysis and applicability to a broad variety of centrifugal pump operations.
Table of Contents List of Figures ii List of Tables ii ACRONYMS iii 1. INTRODUCTION 1 1.1 Background 1 1.2 Research problem 2 1.3 Problem owner 2 1.4 Justification of the study 2 1.5 Research objectives 2 1.6 Research questions 2 1.7 Conceptual framework 3 1.8 Definition of concepts 4 2. LITERATURE REVIEW 6 2.1 Value chains concepts and chain upgrading 6 2.1.1 Value Chain Concepts 6 2.1.2 Challenges in Sunflower Value Chain in Tanzania 7 2.1.3 Chain Upgrading 8 2.2 Agricultural marketing 9 2.3 Major