Search (132 results, page 1 of 7)

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Abstract

Describes a study of the nature of information processing projects and some of the project management programming packages used. Also describes an in house interface program developed to utilize a selected project management package, TIMELINE, by using ORACLE Data Base Management System tools and the Pascal programming language for the management of information system projects. Studies a sample application by using the developed system

Date

22. 7.1996 19:40:59

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Abstract

Neben den operativen Informationssystemen, welche die Abwicklung des betrieblichen Tagesgeschäftes unterstützen, treten heute verstärkt Informationssysteme für analytische Aufgaben der Fach- und Führungskräfte in den Vordergrund. In fast allen Unternehmen werden derzeit Begriffe und Konzepte wie Data Warehouse, On-Line Analytical Processing und Data Mining diskutiert und die zugehörigen Produkte evaluiert. Vor diesem Hintergrund zielt der vorliegende Sammelband darauf ab, einen aktuellen Überblick über Technologien, Produkte und Trends zu bieten. Als Entscheidungsgrundlage für den Praktiker beim Aufbau und Einsatz derartiger analytischer Informationssysteme können die unterschiedlichen Beiträge aus Wirtschaft und Wissenschaft wertvolle Hilfestellung leisten.

Content

Grundlagen.- Data Warehouse.- On-line Analytical Processing.- Data Mining.- Betriebswirtschaftliche und strategische Aspekte.

Theme

Data Mining

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Abstract

Neben den operativen Informationssystemen treten heute verstärkt Informationssysteme für die analytischen Aufgaben der Fach- und Führungskräfte in den Vordergrund. In fast allen Unternehmen werden derzeit Begriffe und Konzepte wie Data Warehouse, On-Line Analytical Processing und Data Mining diskutiert und die zugehörigen Produkte evaluiert. Vor diesem Hintergrund zielt der vorliegende Sammelband darauf, einen aktuellen Überblick über Technologien, Produkte und Trends zu bieten. Als Entscheidungsgrundlage für den Praktiker beim Aufbau und Einsatz derartiger analytischer Informationssysteme können die unterschiedlichen Beiträge aus Wirtschaft und Wissenschaft wertvolle Hilfestellung leisten

Theme

Data Mining

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Date

17. 7.2002 19:22:06

RSWK

Data-warehouse-Konzept / Lehrbuch
Data mining / Lehrbuch

Subject

Data-warehouse-Konzept / Lehrbuch
Data mining / Lehrbuch

Theme

Data Mining

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Date

29.11.1999 12:18:22

Source

International Herald Tribune. 15. Nov. 1999, S.22

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Abstract

Many US companies are looking to business processing reengineering (BPR) - a process of redesign that is dramatic, company-wide, and often information technology oriented - in order to compete in the global marketplace. Given the scope and importance of BPR work, it is critical that there should be some objective measures applied to determining which possible changes shouldbe made in business' processes. Computer simulation technology is well suited to this design assessment role. Use of simulation, entails varieties of data collection that go beyond the information generally gathered in a BPR analysis. Once in use, simulation models encourage a culture of measurement that supports continuous process improvement. Recommends explicit attention to and management of the modelling tasks: data collection and organization; simulation of component designs, and integration of component simulation results

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LCSH

Electronic data processing

Subject

Electronic data processing

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Abstract

Behandelt werden u.a. die Themen: Ziele und Methoden des Data Mining, Prozeß der Wissensentdeckung, State of the Art in der Forschung und Anwendung des Data Mining, wichtige Data Mining Tools, die Rolle der Informationsverarbeitung im KDD Prozeß, Data Warehousing, OLAP, Ansätze zur Benutzerunterstüzung des Data Mining Prozesses, Modellselektion und Evaluierungsmethoden für Data Mining Algorithmen

Theme

Data Mining

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LCSH

Electronic data processing

Subject

Electronic data processing

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Abstract

Data warehousing has captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains as an art rather than a science. This book presents the first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of datawarehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence

RSWK

Data-warehouse-Konzept / Informationsmanagement (21)

Subject

Data-warehouse-Konzept / Informationsmanagement (21)

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Abstract

Data warehousing has captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains as an art rather than a science. This book presents the first comparative review of the state of the art and best current practice in data warehousing. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of datawarehousing efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence

RSWK

Data-warehouse-Konzept / Informationsmanagement (21)

Subject

Data-warehouse-Konzept / Informationsmanagement (21)

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Abstract

Ontologies have been developed and investigated for quite a while now in artificial intelligente and natural language processing to facilitate knowledge sharing and reuse. More recently, the notion of ontologies has attracied attention from fields such as intelligent information integration, cooperative information systems, information retrieval, electronic commerce, and knowledge management. The author systematicaliy introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce. In the second part of the book, the author presents a more technical view an emerging Web standards, like XML, RDF, XSL-T, or XQL, allowing for structural and semantic modeling and description of data and information.

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Abstract

Data Warehousing ist seit einigen Jahren in vielen Branchen ein zentrales Thema. Die anfängliche Euphorie täuschte jedoch darüber hinweg, dass zur praktischen Umsetzung gesicherte Methoden und Vorgehensmodelle fehlten. Dieses Buch stellt einen Beitrag zur Überwindung dieser Lücke zwischen Anspruch und Wirklichkeit dar. Es gibt im ersten Teil einen Überblick über aktuelle Ergebnisse im Bereich des Data Warehousing mit einem Fokus auf methodischen und betriebswirtschaftlichen Aspekten. Es finden sich u.a. Beiträge zur Wirtschaftlichkeitsanalyse, zur organisatorischen Einbettung des Data Warehousing, zum Datenqualitätsmanagement, zum integrierten Metadatenmanagement und zu datenschutzrechtlichen Aspekten sowie ein Beitrag zu möglichen zukünftigen Entwicklungsrichtungen des Data Warehousing. Im zweiten Teil berichten Projektleiter umfangreicher Data Warehousing-Projekte über Erfahrungen und Best Practices.

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Abstract

Knowledge-containing documents and data about knowledge have been handled in stable environments by bureaucratic systems using very stable knowledge ontologies. These systems, though not always very effective in such environments, will become highly ineffective in environments where knowledge has to be updated and replaced frequently. Moreover, organizations in such dynamic environments also use knowledge from extemal resources extensively. This makes the development of a stable ontology for knowledge storage and retrieval particularly complicated. This paper describes eight context classes of knowledge ontology development and explores elements of a method for ontology development. These classes are based an the differences in contexts defined along three dimensions: knowledge dynamics, complexity and social dispersion. Ontology development matches these contexts and ontology needs defined by (logical and social) structure and ontology maturity. The classification framework and methodology are applied to two cases. The first case illustrates a descriptive use of our framework to characterize ontology development in an academic environment. The second case illustrates a normative use of our framework. The method proposed seemed to be empirically valid and rich and be useful for detecting options for ontology improvement.

Source

Knowledge management: organization competence and methodolgy. Proceedings of the Fourth International ISMICK Symposium, 21-22 October 1996, Netherlands. Ed.: J.F. Schreinemakers

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Abstract

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The ferst part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programmeng; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.

Theme

Data Mining

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Abstract

Das Buch "Vom Data Warehouse zum Corporate Knowledge Center" vermittelt einen tiefen Einblick in den State-of-the-art sowie die Zukunftsperspektiven im Bereich der integrierten Informationslogistik. Hierbei wird zum einen betrachtet, inwieweit sich bisherige Ansätze zum Data Warehousing mittelfristig technisch, organisatorisch und wirtschaftlich als geeignete Lösungen erwiesen haben. Die Kernthemen hierbei sind Architekturen, Vorgehensmodelle, BI, OLAP und DSS/EIS. Zum anderen werden neuere Ansätze vorgestellt, die die Integration des Data Warehouse in die GesamtInformationslogistik zum Ziel haben und so die Realisierung neuer Applikationstypen und Geschäftsmodelle ermöglichen. Hierbei werden insbesondere die Themenbereiche . CRM und Metadatenmanagement angesprochen.

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Abstract

The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.

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Abstract

In contemporary practice it is widely asserted, that smart management of knowledge (KM) could be a new panacea for the ever-increasing market and environmental demands put an companies in order to become more flexible, leaming and innovative at the same time. Effective KM is becoming a strategic issue in innovative organizations. Traditionally, managers view knowledge as intangible: Being spread all over the company, it is predominantly hidden in all sorts of databases and in the tacit customs of their employees, and often of course it is securely and unattainable locked in their heads. Often managers have asked themselves difficult questions like: "How to manage something you can't see?" and "How do I know whether it is worth the effort?". Although KM as an issue can hardly be evaded nowadays, design-oriented research an how to come to grips with managing the company's intellectual capacities is still very limited. Action research, showing how KM is dealt with in actual practice, is lacking. Our contribution to the conference is straightforward. We wart to discuss the preliminary results of an action-research project that is currently carried out in a large Dutch bank. Our paper supports the ISMICK conference theme an the organization dimension of KM. Based an the literature an innovation, organizational learning and socio-technical systems design, a number of in-depth interviews were held to determine the possible contribution of KM to increase the controllability and flexibility of the automation department. A qualitative analysis of the data Show that over half of the problems (i.e. poor knowledge about the distinctive systems in the organization, insufficient skills levels, unproductive redundancy of activities, 'islands' of knowledge, and recurring mistakes) could be attributed to the company's inability to successfully manage its intellectual capital. Further analysis of the data showed, that the organizational structure and the maturity of the organization - in terms of Bolwijn & Kumpe (1991) - proved to be the dominant factor in determining the KM approach that would fit the organization. In order to lift the rigidities that resulted from the stock of systems to be maintained and from its bureaucratic structure, several suggestions were made in an attempt to solve the problems mentioned. Those suggestions have been discussed with stakeholders in the organization to increase their fitness for implementation. To improve KM in this organization asks for a multifocus renewal effort. Several approaches are distinguished (i.e. competence centers; dedicated career paths; cluster organization; knowledge infrastructure), each focused an a particular knowledge management problem. These proposals form a design oriented research agenda for the study at hand, while at the same time take the explicit aim to foster implementation in close collaboration with the main stakeholders.

Source

Knowledge management: organization competence and methodolgy. Proceedings of the Fourth International ISMICK Symposium, 21-22 October 1996, Netherlands. Ed.: J.F. Schreinemakers

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Abstract

Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based an structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating an their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization.

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Abstract

Seit mehr als 30 Jahren wird versucht, die Durchführung von Managementaufgaben durch computergestützte Informationssysteme zu verbessern. Doch die meisten der bislang entwickelten Ansätze haben mehr versprochen, als sie zu leisten in der Lage waren. Jan Holthuis entwickelt einen Ansatz für eine aufgabenadäquate Datenhaltung in einem Data Warehouse. Dadurch wird eine sinnvolle Integration heterogener managementrelevanter Informationen aus internen und externen Quellen in eine bestehende betriebliche Informationsverarbeitung möglich

RSWK

Management / Data-warehouse-Konzept (21)

Subject

Management / Data-warehouse-Konzept (21)