Efficient Mining of High Utility Sequential Pattern from Incremental Sequential Dataset
نویسندگان
چکیده
منابع مشابه
Efficient Mining of High-Utility Sequential Rules
High-utility pattern mining is an important data mining task having wide applications. It consists of discovering patterns generating a high profit in databases. Recently, the task of high-utility sequential pattern mining has emerged to discover patterns generating a high profit in sequences of customer transactions. However, a well-known limitation of sequential patterns is that they do not p...
متن کاملEfficient Constraint-Based Sequential Pattern Mining Using Dataset Filtering Techniques
Basic formulation of the sequential pattern discovery problem assumes that the only constraint to be satisfied by discovered patterns is the minimum support threshold. However, very often users want to restrict the set of patterns to be discovered by adding extra constraints on the structure of patterns. Data mining systems should be able to exploit such constraints to speed-up the mining proce...
متن کاملHigh-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds
High-utility sequential pattern mining is an emerging topic in recent decades and most algorithms were designed to identify the complete set of high-utility sequential patterns under the single minimum utility threshold. In this paper, we first propose a novel framework called high-utility sequential pattern mining with multiple minimum utility thresholds to mine high utility sequential pattern...
متن کاملEfficient Sequential Pattern Mining Algorithms
Sequential pattern mining is a heavily researched area in the field of data mining with wide variety of applications. The task of discovering frequent sequences is challenging, because the algorithm needs to process a combinatorially explosive number of possible sequences. Most of the methods dealing with the sequential pattern mining problem are based on the approach of the traditional task of...
متن کاملPure Incremental Approach for Sequential Pattern Mining
In data mining, mining sequential pattern from a very huge amount of database is very useful in many applications. Most of sequential pattern mining algorithms works on static data means the database should not change. But the databases in today’s real world application do not have static data, rather they are incremental databases. New transactions are added at some intervals of time in databa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/21752-5031