Paradoxical Correlation Pattern Mining

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fuzzy Correlation Rules Mining

General fuzzy association rules mining focuses on finding out the fuzzy itemsets or fuzzy attributes which frequently occur together. But two fuzzy itemsets which frequently occur together can not imply that there is always an interesting relationship between them. In this paper, we develop an alternative framework for mining interesting relationship between fuzzy itemsets based on fuzzy correl...

متن کامل

Pattern Mining Techniques of Data Mining

Frequent patterns are patterns that appear in a data set frequently. This method searches for recurring relationship in a given data set. Several techniques have been proposed to improve the performance of frequent pattern mining algorithms. This paper presents revision of different frequent mining techniques including Apriori based algorithms, association rule based, Cp tree, and FP growth. A ...

متن کامل

HYPE: Mining Hierarchical Sequential Pattern Mining

Mining data warehouses is still an open problem as few approaches really take into account the specifities of this framework (e.g. multidimensionnality, hierarchies, historized data). Multidimensional sequential patterns have been studied. However, they do not provide any way to handle hierarchies. In this paper, we propose an original method of extraction of sequential patterns taking into acc...

متن کامل

Multimodal Temporal Pattern Mining

This paper proposes an approach for mining multimodal temporal patterns from multiple synchronous signal sequences generated by different modalities. The instances of the temporal patterns suffer from noise and non-linear temporal warping. There are non-pattern signal segments separating the instances of the temporal patterns in the whole signal sequences. Hidden Markov models with thresholds o...

متن کامل

Trajectory Data Pattern Mining

In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management, hand-off in cellular networks, supply chain management. We approach this problem as that of mining for frequent sequential patterns. Our approach consists of a partitioning strategy for incoming streams of trajectories in order to reduce th...

متن کامل

ذخیره 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: IEEE Transactions on Knowledge and Data Engineering

سال: 2018

ISSN: 1041-4347,1558-2191,2326-3865

DOI: 10.1109/tkde.2018.2791602