Case Based Reasoning

Case formulation is a theoretically based explanation of information obtained from assessment, which offers a hypothesis about the cause and nature of presenting problems. (Westmeyer 2003, Kuyken et al. 2005, 2012, Persons 2005).

Management Decision Support and Intelligent Systems The decision support and intelligent systems that can be used in the company include enterprise-wide systems, knowledge work systems, and intelligent techniques, Great World Enterprises will focus on intelligent techniques for the decision support. It is a database technology that will allow the firm to capture data and analyze the resulting patterns (Aronson, Liang, & Turban, 2005). Data mining will be at the center of the decision support and intelligence systems. It is important to note that data mining is the process used by organizations to sort large data sets so as to identify patterns and determine relationships. The process will begin with the construction of a data warehouse. It is a relational database system that will enable Great World Enterprises to store large quantities of structured and unstructured data. The data warehouse system will include a business intelligence section that will process the stored data to establish patterns and relationships. The analysis will be

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

477). The problem being that with such massive amounts of data the “traditional research approaches” (Brennan & Bakken, 2015, p. 477) are not effective and new data management techniques are needed. The proposed hypothesis or key premise of this article was plainly stated “that nursing needs big data and big data needs nursing” (Brennan & Bakken, 2015, p.477). The article goes on to explain how they will support their claim by drawing parallels between traditional medical research and how data science will assist with the data analysis and help employ changes that are essential to the nursing

Who is Watching, Learning, or Knows Your life? “A Look into Data Mining” Today with the ever growing use of computers in the world, information is constantly moving from one place to another. What is this information, who is it about, and who is using it will be discussed in the

Canada. Is located in the Northernmost part of North America and it is in a top five country in global education report 2016 second quarter. Commonalities. Have shared features and qualities in various aspects. Communal Constructivism. Is an approach to learning in which students not only construct their own knowledge as a

RELATED WORK: Utilizing data mining as a part of advanced education is a late research field, there are numerous works here. That is a result of its possibilities to educational establishments an overview on educational data mining somewhere around 1995 and 2005. They reasoned that educational data mining is a guaranteeing territory of examination and it has a particular prerequisites not displayed in different spaces. Accordingly, work ought to be arranged towards educational space of data mining. A case study that utilized educational data mining to distinguish conduct of falling flat understudies to caution understudies at danger before last test of the year. An alternate case study of utilizing educational data mining as a part of Moodle course management system. They utilized each one stage as a part of data mining process for mining e-learning data. Additionally, educational data mining utilized by to foresee understudies ' last grade utilizing data gathered from Web based system. Utilizing educational data mining to recognize and after that upgrade educational process in higher educational system which can enhance their choice of making process.

As stated above, data mining is often used to solve business decision problems, “it provides ways to quantitatively measure what business users should already know qualitatively” (Linoff, 2004). A growing number of industries are using data mining to become more competitive in their market by primarily focusing on the customers; increasing their customer relationships and increasing customer acquisition.

Data mining is another concept closely associated with large databases such as clinical data repositories and data warehouses. However data mining like several other IT concepts means different things to different people. Health care application vendors may use the term data mining when referring to the user interface of the data warehouse or data repository. They may refer to the ability to drill down into data as data mining for example. However more precisely used data mining refers to a sophisticated analysis tool that automatically dis­ covers patterns among data in a data store. Data mining is an advanced form of decision support. Unlike passive query tools the data mining analysis tool does not require the user to pose individual specific questions to the database. Instead this tool is programmed to look for and extract patterns, trends and rules. True data mining is currently used in the business community for market­ ing and predictive analysis (Stair & Reynolds, 2012). This analytical data mining is however not currently widespread in the health care community.

McGonigle, D., & Mastrian, K. (2012) Nursing informatics and the foundation of knowledge. (2nd ed.). Burlington, MA: Jones and Bartlett

Data Mining Data mining uses computer-based technology to evaluate data in a database and identify different trends. Effective data mining helps researchers predict economic trends and pinpoint sales prospects. Data mining is stored in data warehouses, which are sophisticated customer databases that allow managers to combine data from several different organization functions.

Conclusion Data mining can cause more problems than it worth. It can be a useful marketing tool for businesses, but at the risk of major privacy threats. If the results can include security issues, false information, and cause inefficiencies on both ends, then it needs to be considered and improved. With the proposed solutions, data mining can become more secure, a less of a misguided problem. The solutions are extremely reasonable, it is just a matter of the government and data mining companies putting in effort to make them

Individualistic Conceptualization The client’s current symptomology of significant depressed mood, difficulties sleeping, and fatigue, mostly likely a result of a depressive disorder, which would account for these symptoms as clinical criteria. However, more information is required in order to give a proper diagnosis. The client’s depressed mood is maintained by his cognitive distortions, negative self-schema, and maladaptive coping mechanisms which aversively impacts his mood, sense of self, behavior, and physical state. The client also possesses cognitive distortions characterized by personalization. As evidenced by the client’s misattributing and internalizing negative stereotypes associated with his cultural background to his sense of

Abstract— Data mining, also popularly known as Knowledge Discovery in Database, refers to extracting or “mining" knowledge from large amounts of data. Data mining techniques are used to operate on large volumes of data to discover hidden patterns and relationships helpful in decision making. Many application areas such as

Background - One of the most promising developments in the field of computing and computer memory over the past few decades has been the ability to bring tremendous complex and large data sets into database management that are both affordable and workable for many organizations. Improvement in computer power has