{"product_id":"domain-driven-data-mining-9781441957368","title":"Domain Driven Data Mining","description":"\u003cp\u003e • Author(s): Longbing Cao\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Data Science - Data Analytics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eIn the present thriving global economy a need has evolved for complex data analysis to enhance an organization's production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. \u003ci\u003eDomain Driven Data Mining\u003c\/i\u003e offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. \u003c\/p\u003e\u003cp\u003eAbout this book: \u003c\/p\u003e\u003cul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eEnhances the actionability and wider deployment of existing data-centered data mining through a combination of domain and business oriented factors, constraints and intelligence.\u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e\u003cul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eExamines real-world challenges to and complexities of the current KDD methodologies and techniques.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eDetails a paradigm shift from \"data-centered pattern mining\" to \"domain driven actionable knowledge discovery\" for next-generation KDD research and applications. \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eBridges the gap between business expectations and research output through detailed exploration of the findings, thoughts and lessons learned in conducting several large-scale, real-world data mining business applications\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eIncludes techniques, methodologies and case studies in real-life enterprise data mining\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eAddresses new areas such as blog mining\u003c\/li\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDomain Driven Data Mining\u003c\/i\u003e is suitable for researchers, practitioners and university students in the areas of data mining and knowledge discovery, knowledge engineering, human-computer interaction, artificial intelligence, intelligent information processing, decision support systems, knowledge management, and KDD project management.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45274584809623,"sku":"9781441957368","price":7277.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781441957368.webp?v=1769280364","url":"https:\/\/atlanticbooks.com\/products\/domain-driven-data-mining-9781441957368","provider":"Atlantic Books","version":"1.0","type":"link"}