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Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also facilitates analysis of the frequency of certain events or sets of related events. Finding patterns in sequences is of utmost importance in many areas of science, engineering, and business scenarios.
Pattern Discovery Using Sequence Data Mining: Applications and Studies provides a comprehensive view of sequence mining techniques and presents current research and case studies in pattern discovery in sequential data by researchers and practitioners. This research identifies industry applications introduced by various sequence mining approaches. |
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| | Computer Systems: Theory, Technology and ApplicationsAn invited collection of peer-reviewed papers surveying key areas of Roger Needham's distinguished research career at Cambridge University and Microsoft Research.
From operating systems to distributed computing, many of the world's leading researchers provide insight into the latest concepts and theoretical insights--many of which are... | | TV FAQS: Uncommon Answers to Common Questions about TV
Uncommon answers to common questions about TV
'Is TV dumbing us down?', 'what is a precinct drama?', 'why does all TV look the same?', 'has TV changed politics?', 'who regulates TV', 'is TV finished?' Viewers and students of TV have a healthy ... |
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