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...

On-Line Analytical Processing (OLAP) based on a dimensional view of data is being used increasingly in traditional business applications as well as in applications such as health care for the purpose of analyzing very large amounts of data. Pre-aggregation, the prior materialization of aggregate queries for later use, is an essential technique for ensuring adequate response time during data ana...

ÐWith a huge amount of data stored in spatial databases and the introduction of spatial components to many relational or object-relational databases, it is important to study the methods for spatial data warehousing and OLAP of spatial data. In this paper, we study methods for spatial OLAP, by integration of nonspatial OLAP methods with spatial database implementation techniques. A spatial data...

Online Analytical Processing (OLAP) requires query response times within the range of a few seconds in order to allow for interactive drilling, slicing, or dicing through an OLAP cube. While small OLAP applications use multidimensional database systems, large OLAP applications like the SAP BW rely on relational (ROLAP) databases for efficient data storage and retrieval. ROLAP databases use spec...

INTRODUCTION The development of numerical-spatial routines is frequently required to solve complex community health problems. Community health assessment (CHA) professionals who use information technology need a complete system that is capable of supporting the development of numerical-spatial routines. BACKGROUND Currently, there is no decision support system (DSS) that is effectively able t...

We study the applicability of coarse grained parallel computing model (CGM) to on-line analytical processing (OLAP) for data mining. We present a general framework for the CGM which allows for the efficient parallelization of existing data cube construction algorithms for OLAP. Experimental data indicate that our approach yield optimal speedup, even when run on a simple processor cluster connec...

In this paper, we deal with the problem of similarity search about crowdedness for participatory-sensing buses urban transportation. Similarity is usually applied measuring similarities in heterogeneous information networks. However, many models implement a global setting, without taking object attributes into consideration. OCP, novel OLAP-based perception, an attribute-enriched and meta-path-...

Data warehouses collect data from multiple remote sources and integrate the information as materialized views in a local database. The materialized views are used to answer queries that analyze the collected data for patterns, anomalies, and trends. This type of query processing is often called on-line analytical processing (OLAP). So that OLAP queries can be posed and answered easily, the data...