Omnivariate Rule Induction Using a Novel Pairwise Statistical Test

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Several Considerations on Statistical Test Rule Induction Method

STRIM (Statistical Test Rule Induction Method) has been proposed as a method to effectively induct if-then rules from the decision table. The method was studied independently of the conventional rough sets methods. This paper summarizes the basic concept of STRIM, considers the relationship between STRIM and conventional methods, especially VPRS (Variable Precision Rough Set), and shows that ST...

متن کامل

Efficient Pairwise Statistical Significance Estimation using FPGAs

In this paper, we present a fast pairwise statistical significance estimator using a Field Programmable Gate Array (FPGA) coprocessor. The running time of the pairwise statistical significance estimation routine is dominated by the hundreds of local alignments it must compute. By offloading the alignment task to an accelerator designed to concurrently process multiple independent alignments, we...

متن کامل

Rule Induction Using a Reverse Polish Representation

It is often necessary to extract simple and understandable rules from databases containing inconsistent records and/or irrelevant elds. In this study we have assessed the feasibility of using a genetic programming (GP) approach to extract a single rule to describe such data. Instead of a tree structure we use a Reverse Polish (postx) representation. To assess the performance of the GP algorithm...

متن کامل

A Novel Statistical Image Fusion Rule for Noisy Source Images

Image fusion is an emerging area of statistical application that deals with the integration of images captured by multiple sensors or different modes of imaging systems to obtain an image having higher information content than the individual images. A practical limitation of existing fusion algorithms is that the input images are often assumed to be noise-free. This paper presents a new statist...

متن کامل

Rule Induction: Combining Rough Set and Statistical Approaches

In this paper we propose the hybridisation of the rough set concepts and statistical learning theory. We introduce new estimators for rule accuracy and coverage, which base on the assumptions of the statistical learning theory. Then we construct classifier which uses these estimators for rule induction. These estimators allow us to select rules describing statistically significant dependencies ...

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: 2013

ISSN: 1041-4347

DOI: 10.1109/tkde.2012.155