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Question 1: Present an example where data mining is crucial to the success of a business. What data mining function does this business need? Can they be performed alternatively by data query processing or simple statistical analysis?
Question 2: Define each of the following data mining functionalities: characterization, discrimination, association and correlation analysis, classification, prediction and clustering. Give examples of each data mining functionality, using a real-life database with which you are familiar.
Question 3: What are the major challenges of mining a huge amount of data (such as billions of tuples) in comparison with mining a small amount of data (such as a few hundred tuple data set)?
Abel Company uses activity-based costing. The company has two products - estimated costs and expected activity
in the response to this forum note that you have successfully installed the product and what you experienced in the
Data processing needs taking or receiving the data from a source and doing something with it. The same can be said about the transaction processing. When working along with a file, whether it be a fixed length.
You learned that WIPO is the global arbitrator for all intellectual property-related issues. Read any two cases for the year 2007 on cybersquatting. Create a table with the following column headings.
Explain how much the modulating signal power is required to generate 100 percent modulation? What is the approximate center frequency of filter required to pass the lower sideband?
Write a program to sort these back into a single file. Oh, and we only have a few nanoseconds to do it, so you'd better do it with pthreads!
the order in which the tables in your queries are joined can have an effect on the query performs. if your query is
In this assignment, analyze crime rates using data mining clustering techniques (K-means) to get an accurate prediction to enable police forces to get a clear picture of criminals and solve crimes.
Explain the benefits and current trends of data warehousing and data mining and provide two (2) examples of quality companies successfully using a data warehouse to support your answer.
Consider the following BCNF relational schema for a portion of a university database (type information is not relevant to this question and is omitted)
Identify the valid entities, and explain why the rejected entities should no be modeled and create a data model of the process showing entity associations.
Prepare an ER diagram for the database described below(using crows foot notation). Be sure to identify all required entities, attributes, and relationships (including cardinalities). State any assumptions you make, and indicate a primary key for e..
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