PPT-Attributes & Analysis

Unit of Study 15 Strengthening Critical Area Describing and Analyzing S hapes Global Concept Guide 1 of 1 Content Development It is imperative that students engage in many SMP 3 focused . Chapter 4. Role of Semantic Analysis. . Following parsing, the next two phases of the "typical" compiler are . semantic analysis. (intermediate) code generation. The principal job of the semantic analyzer is to enforce static semantic rules. Mining . Methods Course. Dr. Russell Anderson. Dr. Musa Jafar. West Texas A&M University. What is Data Mining?. The process of discovering useful information in large data repositories. . (Tan, P-N., Steinbach, M., and Kumar, V., Introduction to Data Mining, Addison-Wesley, 2006). Prof. O. . Nierstrasz. Thanks to Jens . Palsberg. and Tony Hosking for their kind permission to reuse and adapt the CS132 and CS502 lecture notes.. http://www.cs.ucla.edu/~palsberg/. http://www.cs.purdue.edu/homes/hosking/. Data Preparation & Preprocessing. Bamshad Mobasher. DePaul University. 2. The Knowledge Discovery Process. - The KDD Process. 3. Data Preprocessing. Why do we need to prepare the data?. In real world applications data can be . : Visual Analysis of Multi-Attribute Rankings. Samuel . Gratzl. , Alexander . Lex. , Nils . Gehlenborg. , . Hanspeter. . Pfister. , and Marc . Streit. Background. Rankings. S. tructuring unorganized collections of items.. Criteria. Free. User friendly manual. On-screen network drawing is easy. Imports and exports multiple formats. Ability to display attributes by colour/size/shape. Continuing to be developed. Multiple layout options. Identify what caused . the outcomes of . Development Programmes. Using . Eval. C3. Rick Davies. Mark Skipper. Hur Hassnain. Activities &. Assumptions. Planning. Implementation. M&E. Programme. Positioning Map. Note: footer area clear of any objects. Three Ways to Create a Positioning Map. SEGMETNATION MAP, TWO AXIS. Determine two measurable dimensions or determinant attributes (can be quantity or quality) that will indicate who competes closest to you. A quantifiable axis may be revenue or site visits. A qualitative metric may be perception it the marketplace.. Hair, et al. 2006. Multivariate Data Analysis Sixth Edition, Chapter 9, US: Prentice Hall. Putu. . Eka. . Widya. . Shanti. (29009020). M. . Satya. . Oktamalandi. (29009021). Learning Objectives. Role of Semantic Analysis. . Following parsing, the next two phases of the "typical" compiler are . semantic analysis. (intermediate) code generation. The principal job of the semantic analyzer is to enforce static semantic rules. Data Preparation & Preprocessing. Bamshad Mobasher. DePaul University. 2. The Knowledge Discovery Process. - The KDD Process. 3. Data Preprocessing. Why do we need to prepare the data?. In real world applications data can be . Madeline Grossfeld. Basics of Networks (Graphs). Node (actor). : each element in the dataset; a person. Edge (tie). : a connection between two nodes; friendship. Degree: the number of edges connected to a single node . Jakub Yaghob. Syntax-directed definitions. Each grammar symbol has an associated set of attributes. Like a record. Two kinds of attributes. Synthesized. Inherited. Attributes can represent anything. Attribute values defined by semantic rules assigned to grammar productions. What Is Data Mining?. Many people treat data mining as a synonym for another popularly used term, knowledge discovery from data, or KDD, while others view data mining as merely an essential step in the process of knowledge discovery. .