A visual framework to understand similarity queries and explore data in Metric Access Methods

نویسندگان

  • Marcos R. Vieira
  • Fabio Jun Takada Chino
  • Caetano Traina
  • Agma J. M. Traina
چکیده

This paper presents the MAMView framework to help users and developers in understanding the data organisation in Metric Access Methods (MAM). Users and developers can explore and share dynamic and interactively 2or 3-dimensional representations of a MAM. Such representations can be the steps of a similarity query or the insertion of an object, or the data organisation in a MAM. MAMView was developed as a practical tool that has been successfully applied in studying existing MAM, helping novice users to better understand the behaviour and properties of such structures, as well developers to verify and drill-down their new proposed structures.

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 Method for Protecting Access Pattern in Outsourced Data

Protecting the information access pattern, which means preventing the disclosure of data and structural details of databases, is very important in working with data, especially in the cases of outsourced databases and databases with Internet access. The protection of the information access pattern indicates that mere data confidentiality is not sufficient and the privacy of queries and accesses...

متن کامل

External Plagiarism Detection based on Human Behaviors in Producing Paraphrases of Sentences in English and Persian Languages

With the advent of the internet and easy access to digital libraries, plagiarism has become a major issue. Applying search engines is one of the plagiarism detection techniques that converts plagiarism patterns to search queries. Generating suitable queries is the heart of this technique and existing methods suffer from lack of producing accurate queries, Precision and Speed of retrieved result...

متن کامل

یادگیری نیمه نظارتی کرنل مرکب با استفاده از تکنیک‌های یادگیری معیار فاصله

Distance metric has a key role in many machine learning and computer vision algorithms so that choosing an appropriate distance metric has a direct effect on the performance of such algorithms. Recently, distance metric learning using labeled data or other available supervisory information has become a very active research area in machine learning applications. Studies in this area have shown t...

متن کامل

Extending the Qualitative Trajectory Calculus Based on the Concept of Accessibility of Moving Objects in the Paths

Qualitative spatial representation and reasoning are among the important capabilities in intelligent geospatial information system development. Although a large contribution to the study of moving objects has been attributed to the quantitative use and analysis of data, such calculations are ineffective when there is little inaccurate data on position and geometry or when explicitly explaining ...

متن کامل

Metric Techniques for High-Dimensional Indexing

Despite the proposal of numerous tree-based structures for high-dimensional similarity searches, techniques based on a sequential scan, such as the VA-File, have been shown to be quite effective. In this thesis we present three new access structures which use sequential access patterns to ef£ciently answer similarity queries for high-dimensional vector and metric data. Two of these access struc...

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:
  • IJBIDM

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2010