The Solution of the Profiling Problem Based on Data Analysis
This article describes the problem of profiling of objects with varied characteristics. This is rdevant for today task, which requires working with large amounts or data and cannot be solved manually. In this paper we describe a solution based on search algorithms or frequent itemsets. The article a...
Main Authors: | Vyacheslav Busarov, Natalia Grafeeva |
---|---|
Format: | Article |
Language: | English |
Published: |
FRUCT
2016-11-01
|
Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://fruct.org/publications/abstract19/files/Bus.pdf
|
Similar Items
-
A Fast Approach for Up-Scaling Frequent Itemsets
by: Runzi Chen, et al.
Published: (2020-01-01) -
A New Algorithm for High Average-utility Itemset Mining
by: A. Soltani, et al.
Published: (2019-11-01) -
Hiding Sensitive Frequent Itemsets over Privacy Preserving Distributed Data
by: Alaa Jumaa, et al.
Published: (2013-03-01) -
Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases
by: Vu Lan, et al.
Published: (2015-06-01) -
Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data
by: Xinyu Xiong, et al.
Published: (2018-01-01)