Discovering Optimized Association Rules based on Image Content

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

Discovering Association Rules Based on Image Content

Our focus for data mining in this paper is concerned with knowledge discovery in image databases. We present a data mining algorithm to find association rules in 2-dimensional color images. The algorithm has four major steps: feature extraction, object identification, auxiliary image creation and object mining. Our emphasis is on data mining of image content without the use of auxiliary domain ...

متن کامل

Content Based Medical Image Retrieval using Binary Association Rules

In this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved ima...

متن کامل

Discovering Calendar-based Temporal Association Rules

A temporal association rule is an association rule that holds during specific time intervals. An example can be that eggs and coffee are frequently sold together in morning hours. This paper studies temporal association rules during time intervals specified by user-given calendar schemas. Generally, the use of calendar schemas makes the discovered temporal association rules easier to understand...

متن کامل

Discovering Predictive Association Rules

Association rule algorithms can produce a very large number of output patterns. This has raised questions of whether the set of discovered rules \over t" the data because all the patterns that satisfy some constraints are generated (the Bonferroni e ect). In other words, the question is whether some of the rules are \false discoveries" that are not statistically signi cant. We present a novel a...

متن کامل

MAMBO: Discovering Association Rules Based on Conditional Independencies

We present the Mambo algorithm for the discovery of association rules. Mambo is driven by conditional independence relations between the variables instead of the minimum support restrictions of algorithms like Apriori. We argue that making use of conditional independencies is an intuitively appealing way to restrict the set of association rules considered. Since we only have a finite sample fro...

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: Advances in Image and Video Processing

سال: 2016

ISSN: 2054-7412

DOI: 10.14738/aivp.42.1994