An analyst working for Global Industries Inc. is provided a Weka output to interpret. They establish a minimum support of .1 (2 instances), a minimum metric of .8, 20 instances, 5 attributes, 25 cycles performed, and 10 rules with a confidence of .8 or higher. How many association rules will the Weka output provide? a. 20 association rules b. 25 association rules с. 10 association rules d. 5 association rules e. None of the above

An analyst working for Global Industries Inc. is provided a Weka output to interpret. They establish a minimum support of .1 (2 instances), a minimum metric of .8, 20 instances, 5 attributes, 25 cycles performed, and 10 rules with a confidence of .8 or higher. How many association rules will the Weka output provide? a. 20 association rules b. 25 association rules с. 10 association rules d. 5 association rules e. None of the above

Fundamentals of Information Systems

8th Edition

ISBN:9781305082168

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter6: Information And Decision Support Systems

Section: Chapter Questions

Problem 2RQ

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Q2: To answer this question, let's take an example of a university faculty with six professors (3 men and 3 women). Professors are ranked from lowest to highest, with 1 being the lowest and 3 being the highest. The male professors are identified as Rao (1), Lalit (3) and Ahmed (2). The Professor's names with their ranks are Monu (3), Rana (1), and Kitty (2). Below are some examples of situations. For each example, provide an ASN.1 description of the record values and their corresponding data types. Consider the ProfessorData data type, which contains details about each professor. An alphabetical list of professors. A list of professors in descending order. There are two sets of professors, each of which consists of a higher-ranking female professor and a male professor of a lower level.
Given the following business scenario, create a Crow’s Foot ERD using a specialization hierarchy if appropriate. Two-Bit Drilling Company keeps information on employees and their insurance dependents. Each employee Hasan employee number, name, date of hire, and title. If an employee is an inspector, then the date of certification and the renewal date for that certification should also be recorded in the system. For all employees, the Social Security number and dependent names should be kept. All dependents must be associated with one and only one employee. Some employees will not have dependents, while others will have many dependents.
Using signavio or any PBM tools and must Use pool and lane and object. Model the following fragment of a business process for insurance claims. After a claim is registered, it is examined by a claims officer who then writes a settlement recommendation. This recommendation is then checked by a senior claims officer who may mark the claim as “OK” or “Not OK”. If the claim is marked as “Not OK”, it is sent back to theclaims officer and the recommendation is repeated. If the is “OK”, the claim handling process proceeds.
In addition, the reasons why EDA could be more effective than hypothesis testing when it comes to data mining.
Question # 3. Association learning CLO-3,4, PLO-1,2,3, C-1,2,3 14 How many number of rules can be made from the dataset which is given in Table 3? Identify those item sets from which rules can be made. Also define the criteria of selection Calculate the Support value of {Ketchup and Soda} and find the confidence value of all rules which can be possible by this item set. Table 3. Transaction ID Items 1 Ketchup, Hamburgers, Soda 2 Cereal, Milk, Diapers, Bread 3 Hot dogs, ketchup, Soda, Milk 4 Greeting card, Cake, Soda 5 Greeting Card, Cake, Milk, Cereal
explain me step by step for this data sceince question please Given the dataset below and a support threshold of 3 and confidence of 100%, +generate all the association rules that describe weather conditions with play outcome. Find out the closed and the max patterns
There is a central fact table and 4 dimensions – Time, A, B and C. The ratio m: n between 2 attributes of the hierarchy represents that for every ‘m’ occurrence of a parent element there will be a maximum of ‘n’ children. As per the current state, this fact table contains1. 3 Years2. 4 A1s3. 5 B1s4. 5 C1s Q1: What is the maximum possible fact data volume in terms of record/row count? Answer: Q2: The m:n ratio from attribute B3 to attribute B4 is changed from 1:3 to 1:1 due to some organizational changes. By how many times the maximum possible fact data volume (by record count) decreases? Answer:
Please answer below questions based on this dimensional model and additional information provided Q1: What is the maximum possible fact data volume in terms of record/row count? Answer: Q3: The m:n ratio from attribute B3 to attribute B4 is changed from 1:3 to 1:1 due to some organizational changes. By how many times the maximum possible fact data volume (by record count) decreases? Answer: Q4: If there is an aggregate fact table at quarter dimension level with other attributes B4, C5 and A3. What is the maximum possible record count of this aggregate table as per the current state mentioned above? Answer:
Q.1: a. What is TFIDF? What is significance of IDF? Explain role of IDF in classification with one real life example. Give an example where IDF may not make sense while classifying. b. Explain how can you apply TFIDF to classify product reviews? (Here each post has 20 words). Give Pseudo code for the same. c. Discuss an algorithm to rank these reviews for different new customers based on their personalized parameters. (Make necessary assumptions) d. Can you combine CNN and TFIDF in this case? How? e. Discuss an algorithm where you combine different reviews to provide a single personalized review of the product for a particular customer.
It's possible that analysts may choose employing EDA over hypothesis testing while they're data mining since EDA is more efficient.
Question p .Suppose that the data for analysis includes the attribute age. The age values for the data tuples are (in increasing order) 13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 33, 35, 35, 35, 35, 36, 40, 45,46, 52, 70. Show a boxplot of the data? Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line
Given the following business scenario, create a Crow's Foot ERD using a specialization hierarchy if appropriate. Two-Bit Drilling Company keeps information on employees and their insurance dependents. Each employee has an employee number, name, date of hire, and title. If an employee is an inspector, then the date of certification and certification renewal date should also be recorded in the system. For all employees, the Social Security number and dependent names should be kept. All dependents must be associated with one and only one employee. Some employees will not have dependents, while others will have many dependents.