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Data Mining and Data Warehousing Principles and Practical Techniques - Parteek Bhatia 2019 PDF Cambridge University Press BOOKS OS AND DB
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Data Mining and Data Warehousing Principles and Practical Techniques
Author: Parteek Bhatia
Year: 2019
Pages: 513
Format: PDF
File size: 39.2 MB
Language: ENG



Book Description: Data Mining and Data Warehousing Principles and Practical Techniques In today's fast-paced digital world, data has become an essential part of our lives. From social media platforms to e-commerce websites, we generate vast amounts of data every day. This data can be used to gain insights into human behavior patterns, preferences, and trends. However, analyzing and making sense of this data requires specialized techniques and technologies known as data mining and data warehousing. In his book, "Data Mining and Data Warehousing Principles and Practical Techniques author [Author Name] provides a comprehensive guide to these two interconnected fields, offering readers a deep understanding of their fundamental concepts and practical applications. The book begins by exploring the evolution of technology and its impact on modern knowledge development. The author emphasizes the need for a personal paradigm that can help us understand the technological process of developing modern knowledge and its basis for the survival of humanity and the unification of people in a warring state. With this perspective, the reader is introduced to the concept of data mining and data warehousing, which are critical components of modern data analysis. Chapter 1: Introduction to Data Mining and Data Warehousing The first chapter provides an overview of data mining and data warehousing, explaining how they differ from traditional data processing methods. The author discusses the importance of data mining and data warehousing in today's digital world, highlighting their role in helping organizations make informed decisions based on large datasets. The chapter concludes with a discussion on the future of data mining and data warehousing, outlining the challenges and opportunities that lie ahead.
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データマイニングとストレージの原則と実践今日急速に進化するデジタル世界では、データは私たちの生活の不可欠な部分となっています。ソーシャルメディアからECサイトまで、毎日大量のデータを生成しています。これらのデータは、個人の行動パターン、好み、傾向を理解するために使用できます。しかし、このデータを分析し理解するには、データマイニングとデータストレージと呼ばれる特別な技術と技術が必要です。著者の著書「データマイニングとデータストレージの原則と実践」では、著者[著者名]はこれらの2つの相互関連分野に関する包括的なガイドを提供し、読者に彼らの基本的な概念と実用的なアプリケーションについての深い理解を提供します。この本は、技術の進化と現代の知識の発展への影響を調べることから始まります。著者は、現代の知識の発展の技術プロセスと人類の生存と戦争状態における人々の統一の基礎を理解するのに役立つ個人的なパラダイムの必要性を強調しています。この観点から、読者は、現代のデータ分析の重要なコンポーネントであるデータマイニングとデータストレージの概念に導入されます。第1章データマイニングとデータストレージの概要第1章では、データマイニングとデータストレージの概要を説明し、従来のデータ処理方法との違いを説明します。著者は、今日のデジタル世界におけるデータマイニングとデータストレージの重要性について議論し、大規模なデータセットに基づいて情報に基づいた意思決定を行うための組織の役割を強調しています。この章では、データマイニングとデータウェアハウスの将来について議論し、今後の課題と機会について説明します。

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