Uncertain Data Retrieval Using Contour Cluster Vector Technique In Single Dimensional Database

نویسنده

  • S. Sukumaran
چکیده

Article history: Received 19 August 2014 Received in revised form 19 September 2014 Accepted 29 November 2014 Available online 15 December 2014

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A General Framework for Knowledge Discovery Using High Performance Machine Learning Algorithms

Abstract—The aim of this paper is to propose a general framework for storing, analyzing, and extracting knowledge from two-dimensional echocardiographic images, color Doppler images, non-medical images, and general data sets. A number of high performance data mining algorithms have been used to carry out this task. Our framework encompasses four layers namely physical storage, object identifica...

متن کامل

An Expressive Multiple Query Processing For The Patented Medical Database in Handling the Temporal Domain Event

The Intellectual query processing has become mandatory for efficient information retrieval .The traditional approaches such as Try and See approach, Prior-ArtSearch, As You Type approach, Fuzzy Approach, Filtering algorithms, Graph Methods were not sufficiently proven worth in the upcoming temporal events when implied in a context of data mart or an enterprise database. This paper suggest a inn...

متن کامل

Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA

Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational database system often contains multirelational information spread across multiple relations (tables). In order to cluster such data, one would require to restrict the analysis to a single representation, or to construct ...

متن کامل

Affine Invariant Compact Centroid Distance Shape Descriptor for Image Retrieval

Simple and fast feature extraction methods are in need today for Content Based Image Retrieval (CBIR) and object recognition applications. The work presented in this paper is contour based one dimensional shape feature extraction technique for closed contour objects. The continuous contour is normalized into ‘N’ representative points. The sector area based object area normalization (OAN) techni...

متن کامل

Facing data scarcity using variable feature vector dimension

This paper focuses on three key points of intonation modelling: interpolation of fundamental frequency contour, sentence by sentence parameter extraction and data scarcity. In some cases, they introduce noise and inconsistency on training data reducing the performance of machine learning techniques. We consider that the F0 contour is segmented into prosodic units (such as accent groups, minor p...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014