PPT-Web Mining - Discovering

interesting and useful information from Web content and usage data What is Web Mining Web mining is a data mining technique to extract knowledge from web data Web data includes . Field Testing Guide v2.0 Discovering God Version 2.0 Vipin Kumar. kumar@cs.umn.edu. http://www.cs.umn.edu/~kumar. Department . of Computer Science and Engineering. ICCABS, Feb 2012.  . High-throughput technologies. DNA . Methylation. Proteins. Gene Expression & . Dr Susan Cartwright. Department of Physics and Astronomy. Discovering neutrinos. Routes to scientific discovery:. Accident!. You find something unexpected in your data. For example, gamma-ray bursts (discovered by satellites designed to look for clandestine nuclear tests). 2. See Page 202. for Detailed Objectives. Objectives Overview. Discovering Computers 2014: Chapter 5. 3. See Page 202. for Detailed Objectives. Digital Security Risks. A . digital security risk. . is any event or action that could cause a loss of or damage to a computer or mobile device hardware, software, data, information, or processing capability. 2. See Page 248. for Detailed Objectives. Objectives Overview. Discovering Computers 2014: Chapter 6. 3. See Page 248. for Detailed Objectives. Inside the Case. The case contains and protects the electronics of the computer or mobile device from damage. 2. See Page 2 . for Detailed Objectives. Objectives Overview. Discovering Computers: Chapter 1. 3. See Page 2 . for Detailed Objectives. A World of Technology. Because technology changes, you must keep up with the changes to remain digitally . 2. See Page 104 . for Detailed Objectives. Objectives Overview. Discovering Computers 2014: Chapter 3. 3. See Page 104 . for Detailed Objectives. Computers and Mobile Devices. Types of computers include:. 2. See Page 202. for Detailed Objectives. Objectives Overview. Discovering Computers 2014: Chapter 5. 3. See Page 202. for Detailed Objectives. Digital Security Risks. A . digital security risk. . is any event or action that could cause a loss of or damage to a computer or mobile device hardware, software, data, information, or processing capability. Chapter 2. 2. See Page 43 . for Detailed Objectives. Objectives Overview. 3. See Page 43 . for Detailed Objectives. Discovering Computers and Microsoft Office 2007. Chapter 2. The Internet. The . Internet. 2. See Page 719. for Detailed Objectives. Objectives Overview. Discovering Computers 2012: Chapter 14. 3. See Page 719. for Detailed Objectives. What Is Enterprise Computing?. Enterprise computing. . 2. See Page 257 . for Detailed Objectives. Objectives Overview. Discovering Computers 2012: Chapter 5. 3. See Page 257 . for Detailed Objectives. What Is Input?. Input. is any data and instructions entered into the memory of a computer. Marlon Dumas. University of Tartu, Estonia. With contributions from . Luciano. . García-Bañuelos. , . Fabrizio. . Maggi. & . Massimiliano. de . Leoni. Theory Days, . Saka. , 2013. Business Process Mining. Mining the Web Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues8212including Web crawling and indexing8212Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results the strenhs and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti\'s work8212painstaking, critical, and forward-looking8212readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.* A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining.* Details the special challenges associated with analyzing unstructured and semi-structured data.* Looks at how classical Information Retrieval techniques have been modified for use with Web data.* Focuses on today\'s dominant learning methods clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.* Analyzes current applications for resource discovery and social network analysis.* An excellent way to introduce students to especially vital applications of data mining and machine learning technology. Key Stage: 4. Religions : Judaism. Theme: Shabbat. www.bl.uk/sacred-texts. Image to come . Discovering Sacred Texts. What is Shabbat?. Shabbat (also known as the Sabbath) is central to Jewish life. .