Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered...

(association rule mining, sequential pattern mining). This usually involves using database techniques such as spatial indices. These patterns can then be seen...

mining or structured data mining is the process of finding and extracting useful information from semi-structured data sets. Graph mining, sequential...

learning Record linkage Sequential pattern mining (string and sequence mining) w-shingling Web mining, a task that may involve text mining (e.g. first find appropriate...

science, pattern matching is the act of checking a given sequence of tokens for the presence of the constituents of some pattern. In contrast to pattern recognition...

algorithm. Other strategies include: Frequent subtree mining Structure mining Sequential pattern mining and respective specific techniques. Implementations...

data mining, and data privacy. He developed some of the fastest data mining algorithms for frequent pattern mining, sequential pattern mining, and decision...

factor analysis, social network analysis, association rule mining, and sequential pattern mining. Discovered relationships must then be validated in order...

Association Rules e.g. partition the age into 5-year-increment ranged Sequential pattern mining discovers subsequences that are common to more than minsup (minimum...

intelligence Physical symbol systems hypothesis Semantic Web Sequential pattern mining Statistical relational learning Symbolic mathematics YAGO ontology...

Other Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting String...

Other Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting String...

Other Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting String...

index can be used to locate all occurrences of a pattern in time linear or near-linear in the pattern size, with no dependence or only logarithmic dependence...

compiling a regular expression to an NFA that can efficiently perform pattern matching on strings. Conversely, Kleene's algorithm can be used to convert...

processing utilities use regular expressions to describe advanced search patterns, but NFAs are better suited for execution on a computer. Hence, this algorithm...

Other Parsing Pattern matching Compressed pattern matching Longest common subsequence Longest common substring Sequential pattern mining Sorting String...

doi:10.1145/2071379.2071383. Apostolico, Alberto; Galil, Zvi (1997-05-29). Pattern Matching Algorithms. Oxford University Press. ISBN 9780195354348. Masek...

In computer science, compressed pattern matching (abbreviated as CPM) is the process of searching for patterns in compressed data with little or no decompression...

effectively analyze Internet water army user behavior and use the sequential pattern mining algorithms to determine paid posters' accounts. An information...

discovery. finding k most interesting patterns using sequential sampling. mining top.k frequent closed patterns without minimum support. k-optimal rule...

doi:10.1007/BF01084395. Zbl 0509.68043. Weiner, Peter (1973). "Linear pattern matching algorithms". 14th Annual Symposium on Switching and Automata Theory...

aimed to create a neutral methodology, SAS also offered a pattern to follow in its data mining tools. The phases of SEMMA and related tasks are the following:...

techniques in the field of process mining try to discover end-to-end process models that are able to describe sequential, choice relation, concurrent and...

algorithm (Generalized Sequential Pattern algorithm) is an algorithm used for sequence mining. The algorithms for solving sequence mining problems are mostly...

alignment Sequence analysis in bioinformatics Sequence clustering Sequential pattern mining Stochastic process Survival analysis Abbott, Andrew (1983). "Sequences...

cited papers in the area of Data Mining. It won the VLDB 10-year award in 2004. His 1995 paper, Mining Sequential Patterns, also co-authored with Rakesh...

activation patterns orthogonal to one another. Lewandowsky and Li (1995) noted that the interference between sequentially learned patterns is minimized...

Social media mining is the process of obtaining data from user-generated content on social media in order to extract actionable patterns, form conclusions...

maximum-relevance selection. Many heuristic algorithms can be used, such as the sequential forward, backward, or floating selections. On the other hand, features...