{"title":"Tamraparni Dasu","description":"\u003cp\u003eWelcome to our curated collection of works by Tamraparni Dasu, a distinguished author in the field of Computing \u0026amp; Technology. Known for her insightful approach to data analysis, Tamraparni Dasu offers invaluable resources for both beginners and seasoned professionals interested in the intricate world of data science.\u003c\/p\u003e\n\n\u003cp\u003eOne of the standout works in this collection is \u003cem\u003eExploratory Data Mining and Data Cleaning\u003c\/em\u003e. This book provides a comprehensive guide to understanding and implementing data mining techniques and the essential practice of data cleaning. Dasu's expertise is evident as she breaks down complex concepts into digestible segments, making them accessible to a wider audience. Her work emphasises the importance of data quality and the role it plays in driving accurate and insightful data analysis.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're looking to enhance your understanding of data dynamics or seeking practical strategies for data management, Tamraparni Dasu's books are an excellent resource for expanding your knowledge and skills in this ever-evolving field. Dive into her works to discover the pivotal techniques and methodologies that shape the landscape of modern data analysis.\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.live\/collections\/tamraparni-dasu.oembed","provider":"Book Hero","version":"1.0","type":"link"}