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aquila mining systems

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Examine32 Text Search (exe): Examine32 Text Search is a fast and versatile text search utility. It can search both text and binary files using ordinary text, the logical operators OR, AND, NOT and XOR, and GREP-like regular expressions. Files within ZIP archives can be searched. Searches can be across multiple drives over networks or...; Tags: Aquila Mining Systems, Examine32 Text Search, Tools & Techniques, Microsoft Word, Word Processors, Microsoft Office, Management, Office Suites, Software; Software downloads 2007-08-15
AC Algorithms in AQUILA QoS IP Network: This paper presents the Admission Control AC algorithms that are implemented in the prototype multi-service AQUILA QoS IP network. The discussed algorithms were developed for regulating traffic submitted to Network Services NS dedicated for handling: real-time streaming traffic of Variable Bit Rate VBR type, and elastic traffic, produced by greedy...; Tags: Algorithm, Aquila Mining Systems, Network, Network Service, IP Network, Salzburg Research Forschungsgesellschaft, Engineering, Networking; White papers 2005-11-08
Oracle Case Study: Aquila: As it made the transition from an international, full-service energy services provider to a regulated domestic utility, Aquila needed to do more with less. The company was looking for ways to reduce operating costs so that it could keep its customers' energy rates low. When Aquila began to divest its...; Tags: Aquila Mining Systems, Oracle Corp., Help Desk, Call Centers, Workforce Management, Recruitment & Selection, Servers, It Operations, Human Resources, Hardware; Case studies

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Data Mining Primer for the Data Warehouse Professional: Very little has been written to explain the challenges facing IT organizations as they try to make data mining a part of their business intelligence operations. This paper explores data mining from the IT perspective, providing a quick overview of data mining technology, technical challenges and solutions for implementing successful...; Tags: Data Warehouse, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers
Indexing and Data Access Methods for Database Mining: Most of today's techniques for data mining and association rule mining ARM in particular, can be aptly termed "flat file mining", since the database is typically transformed to a flat file that is input to the mining software. Previous research in the integration of ARM with databases looked largely at...; Tags: Lucent Technologies Inc., Data Access, Alcatel, Productivity, Storage, Databases, Hardware, Enterprise Software, Software, Data Management; White papers

Link Mining: A New Data Mining Challenge: A key challenge for data mining is tackling the problem of mining richly structured datasets, where the objects are linked in some way. Links among the objects may demonstrate certain patterns, which can be helpful for many data mining tasks and are usually hard to capture with traditional statistical models....; Tags: University Of Maryland, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2008-01-01
Mining Views: Database Views for Data Mining: This paper proposes a relational database model towards the integration of data mining into relational database systems, based on the so called virtual mining views. The paper shows that several types of patterns and models over the data, such as itemsets, association rules, decision trees and clusterings, can be represented...; Tags: Algorithm, SQL, RDBMS, Technische Universiteit Eindhoven, Databases, Data Mining, Business Intelligence, Enterprise Software, Software, Data Management; White papers 2007-08-08
Performance Characterization of Data Mining Applications Using MineBench: Data mining is the process of finding useful patterns in large sets of data. These algorithms and techniques have become vital to researchers making discoveries in diverse fields, and to businesses looking to gain a competitive advantage. In recent years, there has been a tremendous increase in both the size...; Tags: Algorithm, Performance, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2006-01-13
Short Paper: Troubleshooting Distributed Systems Via Data Mining: Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply debugging when failure occurs. Data mining allows the extraction of patterns within large amounts of data and therefore forms the foundation for a useful method of debugging, particularly...; Tags: Distributed System, University Of Notre Dame, Data Mining, Business Intelligence, Marketing Research, Enterprise Software, Software, Data Management, Marketing; White papers 2008-01-01
Optimizing Data Mining Workloads Using Hardware Accelerators: Data mining is the process of finding useful and actionable patterns in large data sets. Data mining algorithms have become vital to researchers in science, engineering, medicine, business, search and security domains. In recent years, there has been a tremendous increase in the size of the data being collected and...; Tags: Hardware, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2007-01-15
TechNet Webcast: Deliver Actionable Insight Throughout Your Organization With Data Mining (Part 1 of 3): Your First Project With SQL Server Data Mining (Level 200): Many users are intrigued and excited to see data mining available in the Microsoft SQL Server product, but many don't know how to start using these features. This webcast leads through the first steps to success for data mining projects. It looks at the overall architecture of data mining and...; Tags: Webcast, Microsoft SQL Server, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; Webcasts 2007-11-01
TechNet Webcast: Getting Started With Data Mining (Level 200): This webcast presents overview of data mining from a database development perspective. It begins with a discussion of the business value and uses of data mining, such as prediction and forecasting and explains how to detect anomalies, and how to recognize scenarios for which Microsoft data mining technology is best...; Tags: Webcast, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; Webcasts
Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems: This paper describes a personalized recommender system that uses web mining techniques for recommending a student which next links to visit within an adaptable educational hypermedia system. They present a specific mining tool and a recommender engine that one has integrated in the AHA! system in order to help the...; Tags: Hypermedia, Data Mining, Web Mining; White papers 2007-06-05
Toward Knowledge-Rich Data Mining: Data mining has made tremendous progress in the last ten years. However, a large gap remains between the results a data mining system can provide and taking actions based on them. This gap must be filled by human work, which greatly limits the efficiency of the overall process and the...; Tags: Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2007-02-23
Possibilities for Applying Data Mining for Early Warning in Food Supply Networks: In food supply networks, ensuring quality of end products is a critical issue. The quality of these products depends in a complex way on many factors. In order to effectively control food quality, the research aims at implementing early warning and proactive control systems in food supply networks. In these...; Tags: Food, Network, Data Mining, Business Intelligence, Food & Beverage, Marketing Research, Databases, Enterprise Software, Software, Data Management, Manufacturing, Marketing; White papers 2006-08-18
Text Mining With Oracle Text: Text mining is loosely defined as ?data mining for text? In Oracle?s view, text mining involves using natural language processing NLP and statistical/probabilistic techniques for finding nuggets and patterns in text collections. A nugget is a new, unknown item where a pattern is the occurrence of a known item. Some...; Tags: Nugget, Oracle Corp., Text Mining; White papers 2004-01-01
Weka-GDPM - Integrating Classical Data Mining Toolkit to Geographic Information Systems: Geographic data preprocessing is the most effort and time consuming step in spatial data mining. In order to facilitate geographic data preprocessing and increase the practice of spatial data mining, this paper presents Weka-GDPM, an interoperable module that supports automatic geographic data preprocessing for spatial data mining. GDPM is implemented...; Tags: GDPM, Data Mining, Business Intelligence, Marketing Research, GIS, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2006-10-26
Multi-Relational Data Mining: An important aspect of data mining algorithms and systems is that they should scale well to large databases. A consequence of this is that most data mining tools are based on machine learning algorithms that work on data in attribute-value format. Experience has proven that such 'Single-table' mining algorithms indeed...; Tags: Algorithm, Katholieke Universiteit Leuven, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2008-01-01
Methodology for Railway Demand Forecasting Using Data Mining: After the organization to resolve its operational problems, comes the necessity for systems to support decision making. The research area data mining grows quickly to take care of these new necessities. However, the use of data mining techniques becomes difficult due to the lack of a complete and systematic methodology...; Tags: Knowledge, Methodology, Forecasting, Research Area Data Mining, Data Mining, Business Intelligence, Marketing Research, Databases, Strategy, Enterprise Software, Software, Data Management, Marketing, Management; White papers 2007-05-14
TechNet Webcast: Introduction to Data Mining With SQL Server 2005 (Level 200): Microsoft SQL Server 2005 expands the data mining capabilities dramatically. This webcast introduces the possibilities of data mining and predictive analytics. Through this webcast one can learn about the data mining process, and the specific mining features in SQL Server 2005.; Tags: Webcast, Microsoft SQL Server, Microsoft SQL Server 2005, Microsoft TechNet, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; Webcasts

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