Med ical records Section 4.6 Review Questions 1. What are the most popular commercial data mining tools? Examples of these vendors include IBM(IBM SPSS Modeler), SAS(Enterprise Miner), Stat Soft(Statistica Data Miner), KXEN (Infinite Insight), Salford(CARt. MARS, TreeNet, Random Forest), Angoss(KnowledgeSTUDIO Knowledge Seeker), and Megaputer(Poly Analyst). Most of the more popular tools are developed by the largest statistical software companies(SPSS, SAS, and Stat Soft) Why do you think the most popular tools are developed by statistics companies? Data mining techniques involve the use of statistical analysis and modeling. So it's a natural extension of their business offerings 3. What are the most popular free data mining tools? Why are they gaining overwhelming popularity(especially r)? Probably the most popular free and open source data mining tool is Weka Othe include rapid Miner and Microsofts SQL Server. Their popularity continues to popular as a default language because of its feature base supporting data ns very grow because of their availability, features, and user communities. R rema What are the main differences between commercial and free data mining software tools? The main difference between commercial tools, such as Enterprise Miner and Statistica, and free tools, such as Weka and Rapid Miner, is computational efficiency. The same data mining task involving a rather large dataset may take a whole lot longer to complete with the free software, and in some cases it may not even be feasible(. e, crashing due to the inefficient use of computer memory) 5. What would be your top five selection criteria for a data mining tool? Explain Students'answers will differ. Criteria they are likely to mention include cost, user interface, ease of use, computational efficiency, hardware compatibility, type of business problem, vendor support, and vendor reputation Copyright C2018 Pearson Education, Inc.10 Copyright © 2018Pearson Education, Inc. • Medical records Section 4.6 Review Questions 1. What are the most popular commercial data mining tools? Examples of these vendors include IBM (IBM SPSS Modeler), SAS (Enterprise Miner), StatSoft (Statistica Data Miner), KXEN (Infinite Insight), Salford (CART, MARS, TreeNet, RandomForest), Angoss (KnowledgeSTUDIO, KnowledgeSeeker), and Megaputer (PolyAnalyst). Most of the more popular tools are developed by the largest statistical software companies (SPSS, SAS, and StatSoft). 2. Why do you think the most popular tools are developed by statistics companies? Data mining techniques involve the use of statistical analysis and modeling. So it’s a natural extension of their business offerings. 3. What are the most popular free data mining tools? Why are they gaining overwhelming popularity (especially R)? Probably the most popular free and open source data mining tool is Weka. Others include RapidMiner and Microsoft’s SQL Server. Their popularity continues to grow because of their availability, features, and user communities. R remains very popular as a default language because of its feature base supporting data manipulation. 4. What are the main differences between commercial and free data mining software tools? The main difference between commercial tools, such as Enterprise Miner and Statistica, and free tools, such as Weka and RapidMiner, is computational efficiency. The same data mining task involving a rather large dataset may take a whole lot longer to complete with the free software, and in some cases it may not even be feasible (i.e., crashing due to the inefficient use of computer memory). 5. What would be your top five selection criteria for a data mining tool? Explain. Students’ answers will differ. Criteria they are likely to mention include cost, user interface, ease of use, computational efficiency, hardware compatibility, type of business problem, vendor support, and vendor reputation