A Survey of Parallel Sequential Pattern Mining
نویسندگان
چکیده
منابع مشابه
Sequential Pattern Mining: A Survey
Data mining [Chen et al. 1996] is the process of extracting interesting (non-trivial, implicit, previously unknown and potentially useful) information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. Also data mining is known as one of the core processes of Knowledge Discovery in Database (KDD). Many people take data mining as a...
متن کاملA Survey of Sequential Pattern Mining
Discovering unexpected and useful patterns in databases is a fundamental data mining task. In recent years, a trend in data mining has been to design algorithms for discovering patterns in sequential data. One of the most popular data mining tasks on sequences is sequential pattern mining. It consists of discovering interesting subsequences in a set of sequences, where the interestingness of a ...
متن کاملA Survey on Different Approaches for Sequential Pattern Mining
In data mining, mining sequential pattern from very huge amount of database is very useful in many applications. Most of sequential pattern mining algorithms work on static data means the database should not change. But the databases in today’s real world application do not have static data, they are incremental databases. New transactions are added at some intervals of time. For updated databa...
متن کاملSequential Pattern Mining: A Survey on Issues and Approaches
INTRODUCTION Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides " inter-transaction " analysis (Agrawal and Srikant, 1995). Applications for sequential pattern extraction are numerous and the problem definition has been slightly modified in different ways. Associat...
متن کاملA Survey on Algorithms for Sequential Pattern Mining
Sequential pattern mining is a very useful mining technique for various sectors like healthcare, retail business, DNA analysis etc. It generates patterns which are frequently occurring in given sequence of transactions. It uses sequence database having sequence of transactions with transaction time. In sequence database every transaction is having various items. By sequential pattern mining use...
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ژورنال
عنوان ژورنال: ACM Transactions on Knowledge Discovery from Data
سال: 2019
ISSN: 1556-4681,1556-472X
DOI: 10.1145/3314107