Integrating Clustering Techniques and OLAP Methodologies: The ClustCube Approach

نویسندگان

  • Alfredo Cuzzocrea
  • Paolo Serafino
چکیده

In this paper, we introduce ClustCube, an innovative OLAP-based framework for clustering and mining complex database objects extracted from distributed database settings. To this end, ClustCube puts together conventional clustering techniques and well-consolidated OLAP methodologies in order to achieve higher expressive power and mining effectiveness over traditional methodologies for mining tuple-oriented information.

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

New Approach for Customer Clustering by Integrating the LRFM Model and Fuzzy Inference System

This study aimed at providing a systematic method to analyze the characteristics of customers’ purchasing behavior in order to improve the performance of customer relationship management system. For this purpose, the improved model of LRFM (including Length, Recency, Frequency, and Monetary indices) was utilized which is now a more common model than the basic RFM model apt for analyzing the cus...

متن کامل

Integrating Data Warehouses with Web Data for Olap Using Semantic Data Clustering Techniques

Nowadays, Information retrieval plays an important role in the web. Many researches presented techniques for information retrieval process from databases. The previous work presented extended tree pattern clustering process for XML massive storages. This paper presents a new technique termed semantic data clustering (SDC) technique for combining the Data warehouse and web data for OLAP by retri...

متن کامل

Algebra-Based Optimization of XML-Extended OLAP Queries

In today’s OLAP systems, integrating fast changing data physically into a cube is complex and time-consuming. Our solution, the “OLAP-XML Federation System,” makes it possible to reference the fast changing data in XML format in OLAP queries without physical integration. In this paper, we introduce the novel query optimization techniques specialized for the federation system including a query o...

متن کامل

RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries

Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analytical Processing (OLAP) operators such as drill-down and roll-up. The granularity levels which compose a dimension hierarchy are usually fixed during the design step of the data warehouse, according to the identified an...

متن کامل

Integrating AHP and data mining for effective retailer segmentation based on retailer lifetime value

Data mining techniques have been used widely in the area of customer relationship management (CRM). In this study, we have applied data mining techniques to address a problem in business-to-business (B2B) setting. In a manufacturer-retailer-consumer chain, a manufacturer should improve its relationship with retailers to continue its business. Segmentation is a useful tool for identifying groups...

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 2012