Preview

Crisp-Dm

Powerful Essays
Open Document
Open Document
19391 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Crisp-Dm
CRISP-DM 1.0
Step-by-step data mining guide Pete Chapman (NCR), Julian Clinton (SPSS), Randy Kerber (NCR), Thomas Khabaza (SPSS), Thomas Reinartz (DaimlerChrysler), Colin Shearer (SPSS) and Rüdiger Wirth (DaimlerChrysler)

SPSS is a registered trademark and the other SPSS products named are trademarks of SPSS Inc. All other names are trademarks of their respective owners. © 2000 SPSS Inc. CRISPMWP-1104

This document describes the CRISP-DM process model and contains information about the CRISP-DM methodology, the CRISP-DM reference model, the CRISP-DM user guide, and the CRISP-DM reports, as well as an appendix with additional related information. This document and information herein are the exclusive property of the partners of the CRISP-DM consortium: NCR Systems Engineering Copenhagen (USA and Denmark), DaimlerChrysler AG (Germany), SPSS Inc. (USA), and OHRA Verzekeringen en Bank Groep B.V. (The Netherlands). Copyright © 1999, 2000 All trademarks and service marks mentioned in this document are marks of their respective owners and are as such acknowledged by the members of the CRISP-DM consortium.

CRISP-DM 1.0

Foreword CRISP-DM was conceived in late 1996 by three “veterans” of the young and immature data mining market. DaimlerChrysler (then Daimler-Benz) was already ahead of most industrial and commercial organizations in applying data mining in its business operations. SPSS (then ISL) had been providing services based on data mining since 1990 and had launched the first commercial data mining workbench—Clementine®—in 1994. NCR, as part of its aim to deliver added value to its Teradata® data warehouse customers, had established teams of data mining consultants and technology specialists to service its clients’ requirements. At that time, early market interest in data mining was showing signs of exploding into widespread uptake. This was both exciting and terrifying. All of us had developed our approaches to data mining as we went along. Were we

You May Also Find These Documents Helpful

  • Better Essays

    One of the considered “best fine food stores” around is the Kudler Fine Foods. However, Kudler is in serious need of a network infrastructure upgrade of their old one. To introduce the latest technologies in data collection; company communication; and information protection while providing the best data speeds and network access; are the main goals of the enterprise network. This huge step is significant as this will increase the revenue and will reduce the costs of operation throughout the Kudler Fine Foods stores. Kudler Fine Foods will go back up to technological speed as the network upgrade is completed, while at the same time improving the way they keep track of inventory and sales by using data mining techniques, which will be collected and analyzed in real time.…

    • 1908 Words
    • 6 Pages
    Better Essays
  • Good Essays

    True False

    • 378 Words
    • 2 Pages

    5. Data mining uses business intelligence tools and techniques on a variety of data sources brought together in a data warehouse.…

    • 378 Words
    • 2 Pages
    Good Essays
  • Satisfactory Essays

    The main objective of business is to review during the Business Understanding Phase. So, therefore after the meeting it seems the data mining consultant gained success in convincing VP of marketing to provide approval for performing data mining on the customer relationship management system.…

    • 394 Words
    • 2 Pages
    Satisfactory Essays
  • Powerful Essays

    Nucor Swot Case Study

    • 6937 Words
    • 28 Pages

    Bibliography: Arcelor Mittal. (2007 September 10). Datamonitor Company Profile. Retrieved March 5, 2008 from http://www.datamonitor.com/…

    • 6937 Words
    • 28 Pages
    Powerful Essays
  • Good Essays

    An active data warehousing, or ADW, is a data warehouse implementation that supports near-time or near-real-time decision making. It is featured by event-driven actions that are triggered by a continuous stream of queries that are generated by people or applications regarding an organization or company against a broad, deep granular set of enterprise data. Continental uses active data warehousing to keep track of their company’s daily progress and performance. Continental’s management team holds an operations meeting every morning to discuss how their company is performing in regards to the data collected by their active data warehousing program. The management team believes, “you can’t manage what you can’t measure,” so they use active data warehousing to keep track of their customers experience while using Continental Airlines. The information that the management team uses to analyze their company in regards to customer relationship is on-time arrival, on-time departures, baggage handling, and other key performance indicators. Continental also uses active data warehousing for revenue management, revenue accounting, flight operations, fraud detection and airline security. Continental restructured their goals to try to become customers “favorite” airline to use. They use their active data warehousing to gain as much information about the company’s performance as well as the customers experience. They use this real-time warehousing program to interpret information that is provided and make changes that will better improve their customers experience and help Continental better suit their business in regards to their customers’ needs.…

    • 1485 Words
    • 6 Pages
    Good Essays
  • Satisfactory Essays

    Because their initial system could not identify the relationship between text communications from their customer service center and key business trends, they turned to SAS Text Miner to create a hybrid mining system that utilized structured and unstructured data sets.…

    • 410 Words
    • 2 Pages
    Satisfactory Essays
  • Powerful Essays

    Baicoianu, A., & Dumitrescu, S. (2010). Data mining meets economic analysis: opportunities and challenges. Bulletin of the Transilvania University of…

    • 2553 Words
    • 11 Pages
    Powerful Essays
  • Powerful Essays

    Cis 500 Data Mining Report

    • 2046 Words
    • 9 Pages

    This report is an analysis of the benefits of data mining to business practices. It also assesses the reliability of data mining algorithms and with examples. “Data Mining is a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques…

    • 2046 Words
    • 9 Pages
    Powerful Essays
  • Satisfactory Essays

    This study takes an insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are:…

    • 348 Words
    • 2 Pages
    Satisfactory Essays
  • Good Essays

    by Colby Ronald Chiles and Marguarette Thi Dau Bachelor of Science in Industrial Engineering (2001, 2004) Georgia Institute of Technology Submitted to the Engineering Systems Division in Partial Fulfillment of the Requirements for the Degree of…

    • 47982 Words
    • 192 Pages
    Good Essays
  • Good Essays

    Business Intelligence

    • 812 Words
    • 4 Pages

    Data mining is tightly positioned at the intersection of many disciplines. Those disciplines include all of the following except:…

    • 812 Words
    • 4 Pages
    Good Essays
  • Better Essays

    Problem of God

    • 1744 Words
    • 5 Pages

    Ideas of what constitutes female and male shape our understanding of many dimensions of our humanity included but not limited to: leadership roles, politics, family roles, and religion. In her book, Sexism and God-Talk, Rosemary Radford Ruether argues that our understanding of religion, specifically Christianity, has strongly been influenced by sexism. She outlines the historical and contemporary role of sexism in religion and argues that sexism has shaped our image of God, the human and Jesus.…

    • 1744 Words
    • 5 Pages
    Better Essays
  • Good Essays

    Sherman J. Silber M.D. “Decreasing Fertility of the Wife in Relation to Aging” Infertility Center of Saint Louis. Web. August.1991…

    • 1059 Words
    • 5 Pages
    Good Essays
  • Best Essays

    Data Warehousing and Olap

    • 2507 Words
    • 11 Pages

    In the 1990s, as businesses grew more complex, corporation spread globally, and competition became fiercer, business executives became desperate for information to stay competitive and improve the bottom line. Data warehousing technologies have been successfully deployed in many industries: manufacturing (for order shipment and customer support), retail (for user profiling and inventory management), financial services (for claims analysis, risk analysis, credit card analysis, and fraud detection), transportation (for fleet management), telecommunications (for call analysis and fraud detection), utilities (for power usage analysis), and healthcare (for outcomes analysis). This paper presents a roadmap of data warehousing technologies, focusing on the special requirements that data warehouses place on database management systems (DBMSs).…

    • 2507 Words
    • 11 Pages
    Best Essays
  • Satisfactory Essays

    Dss Mis

    • 419 Words
    • 2 Pages

    2. List the six steps in a CRISP-DM (Cross-Industry Standard Process for Data Mining). (answer in ch5-slide16)…

    • 419 Words
    • 2 Pages
    Satisfactory Essays

Related Topics