
By Mehdi Khosrow-Pour
The Dictionary of knowledge technological know-how and know-how is the most advantageous, finished reference resource compiled of the newest phrases and definitions concerning all points of the data technological know-how and know-how box. this whole and well timed choice of nearly 10,000 phrases and acronyms presents researchers, practitioners, educators, and scholars with the main exact and up to date wisdom of key words within the ever-expanding international of knowledge technology and expertise. phrases and definitions integrated during this vital reference booklet have been contributed through over 2,500 famous researchers from over forty international locations. there is not any unmarried definition in lifestyles for every component to the vocabulary, so person researchers have shaped distinct descriptions of the terminology, delivering a way more significant and broader figuring out of every time period. The Dictionary of data technology and expertise is a worthwhile, crucial reference booklet for libraries and participants around the globe.
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Example text
Perez-Meana & Nakano-Miyatake, 2005) Antivirus Software A class of programs that searches networks, hard drives, loppy disks, and other data access devices, such as CDROM/DVD-ROMs and zip drives, for any known or potential viruses. The market for this kind of program has expanded because of Internet growth and the increasing use of the Internet by businesses concerned about protecting their computer assets. (Luo & Warkentin, 2005) AP: See Access Point. Apache™: See Apache Software Foundation. Apache™ Software Foundation 1: Provides support for the Apache community of open source software projects.
Ally, 2005b) Artificial Intelligence Markup Language (AIML) An XML speciication for programming chat agents like ALICE. The free ALICE AIML includes a knowledge base of approximately 41,000 categories. (Sourin, 2006) Artiicial Life (ALife) 1: The synthetic or virtual approach to the study of lifelike patterns (forms), behaviors, systems, and organisms, independently of the matter used for synthesis. (de Castro, 2005) 2: The reproduction in digital models of certain aspects of organic life, particularly the ability of evolving adaptation through mutations that provide a better it to the environment.
Imberman & Tansel, 2006) 4: Association rule mining algorithm that uses the fact that the support of a non-empty subset of an item set cannot be smaller than the support of the item set itself. (Denton & Besemann, 2005) 5: The method of generating candidates before testing them during a scan over the database, insuring that if a candidate may be frequent, then it will be generated. See also Generating-Pruning. , 2005) 6: Analysis and description of the media content at the time of insertion in the database.