Web-Based Data Warehousing: Fundamentals, Challenges, and Solutions

2001 ◽  
pp. 515-526
Keyword(s):  
Data Warehousing ◽  
Web Based

Data Warehousing

2008 ◽  
pp. 2749-2761
Author(s):  
Hugh J. Watson ◽  
Barbara H. Wixom ◽  
Dale L. Goodhue
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Data Warehouse ◽  
Data Warehousing ◽  
Top Management ◽  
Data Warehouses ◽  
Web Based ◽  
Good Data ◽  
Customer Services ◽  
Enterprise Data Warehouse

Data warehouses are helping resolve a major problem that has plagued decision support applications over the years — a lack of good data. Top management at 3M realized that the company had to move from being product-centric to being customer savvy. In response, 3M built a terabyte data warehouse (global enterprise data warehouse) that provides thousands of 3M employees with real-time access to accurate, global, detailed information. The data warehouse underlies new Web-based customer services that are dynamically generated based on warehouse information. There are useful lessons that were learned at 3M during their years of developing the data warehouse.

Data Mining and Data Warehousing

2017 ◽  
pp. 312-337 ◽  
Author(s):  
Sathiyamoorthi V
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Data Warehousing ◽  
Research Area ◽  
Huge Amount ◽  
Web Based ◽  
Page Layout ◽  
Average Speed ◽  
Layout Structure ◽  
The World

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Data Mining is one such research area. It extracts useful information the huge amount of data present in the database. The discovered knowledge can be applied in various application areas such as marketing, fraud detections and customer retention. It discovers implicit, previously unknown and potentially useful information out of datasets. Recent trend in data mining include web mining where it discover knowledge from web based information to improve the page layout, structure and its content.

Data Warehousing Interoperability for the Extended Enterprise

2008 ◽  
pp. 2626-2636
Author(s):  
Aristides Triantafillakis ◽  
Panagiotis Kanellis ◽  
Drakoulis Martakos
Keyword(s):  
Data Warehouse ◽  
Business Process ◽  
Information Quality ◽  
Data Warehousing ◽  
Special Kind ◽  
View Maintenance ◽  
Collaborative Environments ◽  
Web Based ◽  
Empirical Results ◽  
Materialized View

The purpose of this paper is to raise awareness and identify a number of challenges regarding the issue of data warehouse interoperation in Web-based collaborative environments. Adopting system and information quality as success variables, we argue that existing works fell short of addressing complex issues that relate to their refreshment and extent far beyond view maintenance solutions within single warehouses. Considering a solution that approaches warehouse refreshment as a business process in a federation of data warehouses, we define a special kind of materialized view that emanates from such an environment, provide a roadmap for implementing the appropriate warehousing architecture, and give some preliminary empirical results.

A framework for Internet archeology: Discovering use patterns in digital library and Web–based information resources

First Monday ◽  
2005 ◽  
Author(s):  
Scott Nicholson
Keyword(s):  
Data Mining ◽  
Digital Library ◽  
Digital Libraries ◽  
Data Warehousing ◽  
Physical Space ◽  
Information Resources ◽  
Information Space ◽  
Web Based ◽  
Research Framework ◽  
Use Patterns

Archeologists use artifacts to make statements about occupants of a physical space. Users of information resources leave behind data–based artifacts when they interact with a digital library or other Web–based information space. One process for examining these patterns is bibliomining, or the combination of data warehousing, data mining and bibliometrics to understand connections and patterns between works. The purpose of this paper is to use a research framework from archeology to structure exploration of these data artifacts through bibliomining to aid managers of digital libraries and other Web–based information resources.

Fundamentals of Data Mining and Data Warehousing

2017 ◽  
pp. 1-26
Author(s):  
Sathiyamoorthi V
Keyword(s):  
Data Mining ◽  
Web Mining ◽  
Data Warehousing ◽  
Fraud Detection ◽  
Web Based ◽  
Page Layout ◽  
Average Speed ◽  
Layout Structure ◽  
The World ◽  
Recent Trends

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Data mining is one such area that extracts useful information from the huge amount of data present in the dataset. The discovered knowledge can be applied in various application areas such as marketing, fraud detection and customer retention in product based companies and so on. It discovers implicit, previously unknown and potentially useful information out of dataset. Recent trends in data mining include web mining where it discovers knowledge from web based information to improve the page layout, structure and its contents.

Data Warehousing

2011 ◽  
pp. 202-216 ◽  
Author(s):  
Hugh J. Watson ◽  
Barbara H. Wixom ◽  
Dale L. Goodhue
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Data Warehouse ◽  
Data Warehousing ◽  
Top Management ◽  
Data Warehouses ◽  
Web Based ◽  
Good Data ◽  
Customer Services ◽  
Enterprise Data Warehouse

Data warehouses are helping resolve a major problem that has plagued decision support applications over the years — a lack of good data. Top management at 3M realized that the company had to move from being product-centric to being customer savvy. In response, 3M built a terabyte data warehouse (global enterprise data warehouse) that provides thousands of 3M employees with real-time access to accurate, global, detailed information. The data warehouse underlies new Web-based customer services that are dynamically generated based on warehouse information. There are useful lessons that were learned at 3M during their years of developing the data warehouse.

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