Integration of Data Sources through Data Mining

نویسنده

  • Andreas Koeller
چکیده

INTRODUCTION Integration of data sources refers to the task of developing a common schema as well as data transformation solutions for a number of data sources with related content. The large number and size of modern data sources make manual approaches at integration increasingly impractical. Data mining can help to partially or fully automate the data integration process.

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

تدوین الگوی کیفی مدیریت فرآیندهای یاددهی– یادگیری در دوره ابتدایی

The aim of study was to develop a qualitative model of teaching-learning processes management(QMTLPM)for the elementary school classrooms .According to the study, criteria and indicators for QMTLPM through in-depth study of available sources and interviews with focus groups were identify.in term of design is qualitative and in term of strategy is qualitative case study research. Potential study...

متن کامل

Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis

Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior informat...

متن کامل

Ratio Rule Mining from Multiple Data Sources

Both multiple source data mining and streaming data mining problems have attracted much attention in the past decade. In contrast to traditional association-rule mining, to capture the quantitative association knowledge, a new paradigm called Ratio Rule (RR) was proposed recently. We extend this framework to mining ratio rules from multiple source data streams which is a novel and challenging p...

متن کامل

Unstructured information integration through data-driven similarity discovery

Information integration from multiple heterogeneous sources is one of the major challenges facing enterprises and service providers today, and one of the important problems in this domain is the integration of structured and unstructured (or text) data. In this paper we describe our work on a data-driven approach to integrating various sources of text data, without relying on the availability o...

متن کامل

Exploration of Kahang porphyry copper deposit using advanced integration of geological, remote sensing, geochemical, and magnetics data

The purpose of mineral exploration is to find ore deposits. The main aim of this work is to use the fuzzy inference system to integrate the exploration layers including the geological, remote sensing, geochemical, and magnetic data. The studied area was the porphyry copper deposit of the Kahang area in the preliminary stage of exploration. Overlaying of rock units and tectonic layers were used ...

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 2009