{"title":"Theodore Johnson","description":"\u003cp\u003eTheodore Johnson is a renowned author in the field of Computing \u0026amp; Technology, celebrated for his expertise in data analysis and information management. His works, including the enlightening \u003cem\u003eExploratory Data Mining and Data Cleaning\u003c\/em\u003e, are essential reads for professionals and enthusiasts looking to deepen their understanding of data processing and optimisation techniques.\u003c\/p\u003e\n\n\u003cp\u003eJohnson's books are crafted to be both educational and engaging, making complex concepts accessible through clear explanations and comprehensive examples. Whether you're an experienced data scientist or a newcomer, his insights into data mining and cleaning methods will enrich your knowledge and practical skills.\u003c\/p\u003e\n\n\u003cp\u003eAs you explore Theodore Johnson's collection, you'll discover valuable strategies and tools that will empower you to handle data with greater efficiency and precision. Immerse yourself in his expertly written works and elevate your grasp of the digital world.\u003c\/p\u003e","products":[{"product_id":"exploratory-data-mining-and-data-cleaning-by-tamraparni-dasu-9780471268512","title":"Exploratory Data Mining and Data Cleaning","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003ci\u003eExploratory Data Mining and Data Cleaning\u003c\/i\u003e is written for practitioners of data mining, data cleaning, and database management. The book presents a technical treatment of data quality, including process, metrics, tools, and algorithms.\u003c\/p\u003e\n\n\u003cp\u003eFocusing on developing an evolving modelling strategy through an iterative data exploration loop and incorporation of domain knowledge, the book addresses methods of detecting, quantifying, and correcting data quality issues that can significantly impact findings and decisions. It explores the use of commercially available tools alongside new algorithmic approaches.\u003c\/p\u003e\n\n\u003cp\u003eCase studies are utilised to illustrate applications in real-life scenarios. The book also highlights new approaches and methodologies, such as the DataSphere space partitioning and summary-based analysis techniques.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eExploratory Data Mining and Data Cleaning\u003c\/i\u003e will serve as an important reference for serious data analysts who need to analyse large amounts of unfamiliar data, managers of operations databases, and students in undergraduate or graduate level courses dealing with large-scale data analysis and data mining.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000618369260,"sku":"9780471268512","price":432.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/21449673482355.jpg?v=1763289631"}],"url":"https:\/\/bookhero.pro\/collections\/theodore-johnson.oembed","provider":"Book Hero","version":"1.0","type":"link"}