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GIS With support from NSF DUE0903270 Prepared by in partnership with John McGee Jennifer McKee Geospatial Technician Education Through Virginias Community Colleges GTEVCC The Problem. Remark: Discusses “basics concerning data sets (first half of Chapter 2) but does not discuss preprocessing. Preprocessing will be discussed in . late October. . What is Data?. Collection of data objects and their attributes. Large number:. Points, multiipoints, lines, polylines, splines, rasters, images, surfaces, networks….. But, 95% of the time we deal with these five:. RESIN GIS Workshop #1, November 6, 2009, John Radke, Howard Foster. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER . GRAPHICS, . DECEMBER 2012. Authors:. . Christian . Tominski. Heidrun. Schumann. Gennady . Andrienko. Natalia . Andrienko. BY:. Farah . Kamw. Introduction. Yubao (Robert) Wu. Georgia State University. Chapter 2 Getting to Know Your Data. Data Objects and Attribute Types. Basic Statistical Descriptions of Data. Data Visualization. Measuring Data Similarity and Dissimilarity. Chapter 3. . Data Preprocessing. Jiawei Han, Computer Science, Univ. Illinois at Urbana-Champaign. , 2017. 1. 9/11/17. 2. Chapter 3: Data Preprocessing. Data Preprocessing: An Overview. Data . Cleaning. N7. N6. N2. N9. N4. N3. N1. N8. N5. Attribute. N1. N2. N3. N4. N5. N6. N7. N8. N9. N1. Male. 0. 0. 1. 0. 0. 1. 1. 1. 0. N2. Female. 0. 0. 0. 1. 1. 1. 1. 0. 1. N3. Male. 1. 0. 0. 0. 0. 1. 1. 0. 0. N4. markovz@ccsu.edu Ingrid Russell University of Hartford irussell@hartford.edu Data Mining"Drowning in Data yet Starving for Knowledge" ???"Computers have promised us a fountain of wisdom but delivered markovzccsueduIngrid Russell University of HartfordirussellhartfordeduData MiningDrowning in Data yet Starving for Knowledge Computers have promised us a fountain of wisdom but delivered aflood of dat Introduction to Data Mining. , 2. nd. Edition. by. Tan, Steinbach, Kumar. Outline. Attributes and Objects. Types of Data. Data Quality. Similarity and Distance. Data Preprocessing. What is Data?. Collection of . It is very common to want to extract data from websites to use in some sort of analysis.. For a single page we might be able to do it by hand, but as the number of pages grows, or if it changes frequently, this can get tedious.. 1. Emphases:. 6-13; 15-27; 32 . Query Languages. Entity–Relationship Modeling. Normalization and . Joins - optional. 2. Understand the process of querying a relational database.. Understand the process of entity–relationship modeling.. 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. . https://indico.cern.ch/event/605369. /. Attendees (52): . https://eventr.geant.org/events/. 2580. . Community Updates. LIGO. Highlights. COmanage. . registry at . gw-. astronomy.org. , hosted and operated by University of Wisconsin . . subject-oriented. ,. integrated. , . time-variant. , . and . nonvolatile. . collection of data in support of management’s decision-making process.. A decision support database that is maintained .