data mining sql server (81 resultados)

Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Softcover. Condición: As New. Minor wear. The amount of information stored in corporate databases is exploding exponentially. Data mining--finding meaningful patterns in all that data--can give any organization a competitive advantage. This book is the in-depth reference from Microsoft for anyone who wants to take full advantage of the powerful data-mining features in SQL Server 2000. It examines the SQL Server 2000 Analysis Services architecture and shows how data mining fits into its complete suite of information-extraction technologies. Then it demonstrates how to structure and mine large databases with the algorithms included with SQL Server 2000 to find nuggets of useful information. It even shows how to create a practice data-mining model using data downloaded from a database. Coverage includes: INTRODUCTION TO DATA MINING: What data mining is and isn't, plus important principles and definitions behind data-mining methodologies, including the role of data-mining models, statistics, and algorithms SQL SERVER 2000 ARCHITECTURE: How data mining fits into the SQL Server 2000 Analysis Services architecture and how it builds on the SQL Server 2000 relational database and its embedded online analytical processing (OLAP) engine DATA-MINING METHODS: How to choose the best data-mining method for the job--decision trees or clustering EASE OF USE FEATURES: How to use the Mining Model Wizard and the OLAP Mining Model Editor to simplify creating, training, and processing a model PROGRAMMING THE DATA-MINING SERVICES: How to use data-mining models and Data Transformation Services, PivotTable Services, decision-support objects (DSO), PERL, Visual Basic, Scripting Edition, XML, and other tools and languages to work with the data-mining engine.

Condición: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Paperback. Condición: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Paperback. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 400 | Sprache: Deutsch | Produktart: Bücher.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Deutsch | Produktart: Bücher.

Condición: Gut. Formateinband: Pappband / gebundene Ausgabe 328 S.; 24 cm 1. Aufl.; In gutem Zustand. Sprache: Deutsch Gewicht in Gramm: 990 [Stichwörter: Analyse und Bewertung von Daten, Microsoft Excel].

paperback. Condición: New. Language:Chinese.Paperback. Publisher: China Railway.

paperback. Condición: New. Language:Chinese.Paperback. Publisher: Tsinghua University.

paperback. Condición: New. Paperback. Pub Date: October 2011 Pages: 312 Language: Chinese in Publisher: China Water Power Press SQL Server 2008 R2: Data Mining and Business Intelligence Basic and Advanced Case combat comprehensive introduction to the basic concepts of data mining and business intelligence and principles. including the classical theory of trends in development and in-depth description of the various data mining technology and typical applications. By SQL Server 2008 R2: data mining and business intellig.

paperback. Condición: New. Language:Chinese.Paperback. Publisher: Electronic Industry.

paperback. Condición: New. Pages Number: 342 Publisher: Mechanical Industry Press Pub. Date :2008-03. compared to other database systems or data mining software. Microsoft s new database system MicrosoftSQLServer function with built-in data mining. a better balance between the performance of enterprise business intelligence solutions and prices. which spread rapidly in the industry. Demand for the industry practice. the book introduces the following: data warehouse. data mining and business intelligence relationship. M.

paperback. Condición: New. Paperback. Pub Date: 2010 07 Pages: 492 Language: Chinese in Publisher: Tsinghua University Press SQL Server Data Mining is the industry's most widely used data mining server. Business users (and even academic experts and scientists) are using the SQL Server data mining techniques. because this technology can be highly scalable. easy access to wide range of functions and ease of use. SQL Server 2008 version with exciting new improvements in the area of ??data mining. this book is a classic of.

paperback. Condición: New. Paperback. Pub Date: 2012 Pages: 285 Language: Chinese Publisher: China Machine Press data mining Fundamentals and Applications (SQL Server 2008) introduces data mining technology. and virtual a bonbon supermarket . through the use of the SQL language to establish a database of the supermarket and data. further excavation a SQLServer2008 of data mining models on the supermarket accumulation of data. and practical examples to help the reader quickly understand and master data mining techniques.