PPT-Hypertext

Markup Language HTML BAB 2 Intro HTML format standar untuk membuat dokumen web Spesifikasi HTML standar HTML 401 httpwwww3orgTRhtml4 HTML merupakan. followed this pattern. Developers had little choice in this: there were no personal computers yet. The use of mainframe computers in the early development of hypertext parallels the modern industrial 22, 2011. Slide . 1. Adaptivity. in Virtual Reality using the GALE Engine . Prof. dr. Olga De Troyer . WISE, Vrije Universiteit Brussel. Slide . 1. Content. Virtual Reality . Virtual Reality for Learning & . Mind and Machine. Elizabeth . Losh. http://. losh.ucsd.edu. How’s My Driving?. Please CAPE This Course!. A link should have been sent to your .. ucsd. account. Mixtape. Madness!. Advice Moving Forward. Evaluation copies are available for download at:http://www.adelard.com/software/asce. While ASCE is acommercial system, Adelard license it to academic institutesfree of charge for non-profit teaching W. . W. : . History, Hypertext,. and Interface Design. Overview. The Internet-based world wide web in historical context. Among the most profound changes of recent centuries. Human culture always “information based”, … and now is, as any time, interesting. Electronic . texts introduce new supports as well as new challenges that can have a great impact on an individual's ability to comprehend what he or she reads. . Proficiency . in the new literacies of the Internet will become essential to our students' literacy . Text – Part 2. Overview. Computers and . Text. Font Editing and Design Tools. Hypermedia and Hypertext. Computers and Text. P. ixels . were typically taller than they . were wide. . . The . aspect ratio for a pixel on older EGA monitors, for example, . Request/ Response Messages . GET /announce.html HTTP/1.0. Host: www.joes-hardware.com. HTTP/1.0 200 OK. Content-Type: text/plain. Content-Length:19. Hi! I’m a message. Request. Response. Client. Server. MOHD SAIFULNIZAM ABU BAKAR. saiful.uitm.edu.my. Overview. Importance of text in a multimedia presentation.. Understanding fonts and typefaces.. Using text elements in a multimedia presentation.. Computers and text.. HTML. How the Internet Works. Client asks for an html file. Server returns the html file. Client parses and displays it . This display is what most people consider a webpage.. What is HTML?. HTML stands for Hypertext Markup Language. The Internet is a massive, world wide connection of independent networks that choose to be connected together. . It connects many millions of users in many countries on any given day. No one group "owns" the Internet.. Jordan Davenport. Brief History. Created in 1994 by . Rasmus. . Lerdorf. Released June 1995 as "Personal Homepage Tools". Rewritten a few times, carried different names. Rasmus Lerdorf. Image Source: http://lerdorf.com/bio.php. IWT | GKS. 701,389 logins on . Facebook. 69,444 hours watched on Netflix. 150 million emails sent. 1,389 . Uber. rides. 527,760 photos shared on . Snapchat. 51,000 app downloads on Apple’s App Store. 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.