Mining association rules in document images
نویسندگان
چکیده
In this paper we investigate the discovery of association rules from a particular kind of images, namely document images. Document images are initially processed to extract both their layout structures and their logical structures. To take into account the inherently spatial nature of the layout structure, a spatial data mining algorithm is applied, which returns spatial association rules. We illustrate and comment experimental results on a set of multi-page documents extracted by IEEE Transaction on Pattern Analysis and Machine Intelligence.
منابع مشابه
Mining spatial association rules from document layout structures
In this paper we investigate the discovery of spatial association rules from a particular kind of images, namely document images. Document images are initially processed to extract both their layout structures and their logical structures. To take into account the inherent spatial nature of the layout structure, a spatial data mining algorithm is applied, which returns spatial association rules...
متن کاملMining Association Rules from Unstructured Documents
This paper presents a system for discovering association rules from collections of unstructured documents called EART (Extract Association Rules from Text). The EART system treats texts only not images or figures. EART discovers association rules amongst keywords labeling the collection of textual documents. The main characteristic of EART is that the system integrates XML technology (to transf...
متن کاملIntroducing an algorithm for use to hide sensitive association rules through perturb technique
Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...
متن کاملUsing a Data Mining Tool and FP-Growth Algorithm Application for Extraction of the Rules in two Different Dataset (TECHNICAL NOTE)
In this paper, we want to improve association rules in order to be used in recommenders. Recommender systems present a method to create the personalized offers. One of the most important types of recommender systems is the collaborative filtering that deals with data mining in user information and offering them the appropriate item. Among the data mining methods, finding frequent item sets and ...
متن کاملFrequent Graph Discovery: Application to Line Drawing Document Images
In this paper a sequence of steps is applied to a graph representation of line drawings using concepts from data mining. This process finds frequent subgraphs and then association rules between these subgraphs. The distant aim is the automatic discovery of symbols and their relations, which are parts of the document model. The main outcome of our work is firstly an algorithm that finds frequent...
متن کامل