1. The independent data marts have inconsistent data definitions and different dimensions and measures,
2. Which of the following is not a major activity of OLAP? Analytics
3. Which of the following are reports that are similar to routine reports, Ad-hoc reports
4. Clustering techniques involves optimization this is because we want to create group that have maximum similarity among members within each group…
5. Which of the following is the reason why neural networks have been applied in business classification problems? Able to learn the data, able to learn the models ' nonparametric nature, its ability to generalize, All of the above
6. The main processing elements of a neural network are individual neurons
7. A software suite is
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Common tools used for supervised induction are neural networks , decision trees, and if then else rules tree
36. Which of the following procedure is used to break datasets into different pairs of training and testing sets resampling
37. Lotus notes provide online collaboration capabilities
38. Communication occurs when the receiver gets the information at a different time asynchronous
39. A rule-based expert system contains rules in its knowledge base and the rules are used to generate questions
40. Which of the following is the brain of an expert system inference engine
41. Decisions trees are comprised of essentially a hierarchy of if-then statements
42. A decision tree can be defined as a root followed by internal nodes. each node(including the root)is labeled with a question
43. Which of the following describes how data are organized and how to use them effectively? Metadata
44. The difference between the actual output and the desired output for a given set of inputs is an error named Alpha
45. Data mining provides organizations with an indispensable decision-enhancing environment to exploit new opportunities by transforming date into a strategic weapon
46. Cluster analysis is a exploratory data analysis tool for solving classification problems
47. A major step in managerial decision making is forecasting. There are many methods to do
* Describe the role of databases and database management systems in managing organizational data and information.
The decision making of management is very crucial and involves various analysis to be performed. There are various ratios and methods that can be useful for mitigating the risks and increasing the expected returns with investments. The financial forecast is a mix of the behaviour,
1.1 Sort and classify objects by one attribute into two or more groups, with increasing accuracy.
I extracted the testing set by taking the last 15 records of each class for testing.
4. Decision support systems - help the developers of an AIS identify what information they
The goals have been set and data analytics best practices need to be monitored. The experienced gained in this phase will shape the next course of action based on external and internal issues. As the data is formulated, it will identify the strengths and the weaknesses, threats and opportunities for improvements. Because the internal and external issues will continue
Data management is vital to any business as this is a key tool to an organisations business improvement, as you can refer back to data, and compare them against benchmarks. Analysing data can provide evidence for possible future structure such as identify trends, as well as indicate where improvements can be made. However there are strict procedures to be followed when collecting and storing data.
E) Decision trees are solved by starting at the first decision node and moving forward.
The main issue is to find out the best method that suits the nature of
2) Which research method was most helpful to you in developing and evaluating the segmentation options?
How data mining can assist bankers in enhancing their businesses is illustrated in this example. Records include information such as age, sex, marital status, occupation, number of children, and etc. of the bank?s customers over the years are used in the mining process. First, an algorithm is used to identify characteristics that distinguish customers who took out a particular kind of loan from those who did not. Eventually, it develops ?rules? by which it can identify customers who are likely to be good candidates for such a loan. These rules are then used to identify such customers on the remainder of the database. Next, another algorithm is used to sort the database into cluster or groups of people with many similar attributes, with the hope that these might reveal interesting and unusual patterns. Finally, the patterns revealed by these clusters are then interpreted by the data miners, in collaboration with bank personnel.4
Which of the following involves entering data in computer files, inspecting the data for errors, and running tabulations and various statistical tests? B. data analysis.
Since higher education has blurred the lines with traditional businesses, it is important to have the tools to assist them with valuable data and information, in making decisions. Using of data and having the right data mining tools can insure the institute’s success, in many forms, such as, identifying market trends, precision marketing, new products, performance management, grants and funding management, student life cycle management and procurement to mention a few. To get a better grasp on these benefits it’s important to understand data warehouse, data mining and the associated benefits.
R.L Fielding (2008) reiterates that Business Intelligence is a thorough and holistic analysis of the company records, data, information, and software application for effective decision making. All decision making processes need an organized, readily-accessible, and human readable compilations of data. With the use of an effective tool the firm can easily figure out their own business processes, the behavior of their customers, and the economic trend of the industry. With these facts, the firm can arrive at a better strategy to achieve their specified goals with confidence.