{"product_id":"machine-learning-and-principles-and-practice-of-knowledge-discovery-in-databases-international-workshops-of-ecml-pkdd-2022-grenoble-france-september-1923-2022-proceedings-part-i-9783031236174","title":"Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book presents the papers of several workshops held at ECML PKDD 2022, including workshops on data science for social good, new frontiers in mining complex patterns, explainable knowledge discovery, uplift modeling, IoT, edge, and mobile for embedded machine learning, mining data for financial applications, machine learning for cybersecurity, machine learning for buildings energy management, machine learning for pharma and healthcare applications, data analysis in life science, and IoT streams for predictive maintenance. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 633 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 31 January 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis book is a compilation of papers presented at the International Workshops of ECML PKDD 2022, held in Grenoble, France, from September 19 to 23, 2022. The conference featured a total of 73 revised full papers and 6 short papers, selected from 143 submissions.\u003cbr\u003e\u003cbr\u003eThe workshops held at ECML PKDD 2022 covered a wide range of topics in machine learning and knowledge discovery in databases. Here are the workshops and their brief descriptions:\u003cbr\u003e\u003cbr\u003eWorkshop on Data Science for Social Good (SoGood 2022): This workshop aimed to bring together researchers and practitioners to explore the use of data science for social good. The papers presented in this workshop explored various applications of data science, such as healthcare, education, and social welfare.\u003cbr\u003e\u003cbr\u003eWorkshop on New Frontiers in Mining Complex Patterns (NFMCP 2022): This workshop focused on exploring new techniques and algorithms for mining complex patterns from large datasets. The papers presented in this workshop covered topics such as graph mining, network analysis, and machine learning for pattern recognition.\u003cbr\u003e\u003cbr\u003eWorkshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022): This workshop aimed to promote the understanding and development of explainable knowledge discovery methods in data mining. The papers presented in this workshop explored various techniques for explaining the results of data mining algorithms, such as decision trees, random forests, and neural networks.\u003cbr\u003e\u003cbr\u003eWorkshop on Uplift Modeling (UMOD 2022): This workshop focused on developing uplift modeling techniques for predicting user behavior and outcomes. The papers presented in this workshop covered topics such as user profiling, recommendation systems, and user behavior analysis.\u003cbr\u003e\u003cbr\u003eWorkshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2022): This workshop aimed to explore the use of IoT, edge computing, and mobile technologies for embedded machine learning applications. The papers presented in this workshop covered topics such as edge computing, mobile sensing, and machine learning for IoT devices.\u003cbr\u003e\u003cbr\u003eWorkshop on Mining Data for Financial Application (MIDAS 2022): This workshop focused on developing data mining techniques for financial applications, such as fraud detection, credit scoring, and market analysis. The papers presented in this workshop covered topics such as data preprocessing, feature extraction, and machine learning algorithms for financial data.\u003cbr\u003e\u003cbr\u003eWorkshop on Machine Learning for Cybersecurity (MLCS 2022): This workshop aimed to bring together researchers and practitioners to explore the use of machine learning for cybersecurity applications. The papers presented in this workshop covered topics such as intrusion detection systems, malware analysis, and security monitoring.\u003cbr\u003e\u003cbr\u003eWorkshop on Machine Learning for Buildings Energy Management (MLBEM 2022): This workshop focused on developing machine learning techniques for building energy management applications, such as energy prediction, energy optimization, and building automation. The papers presented in this workshop covered topics such as building energy modeling, data analysis, and machine learning algorithms.\u003cbr\u003e\u003cbr\u003eWorkshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022): This workshop aimed to bring together researchers and practitioners to explore the use of machine learning for pharma and healthcare applications. The papers presented in this workshop covered topics such as drug discovery, medical imaging, and patient diagnosis.\u003cbr\u003e\u003cbr\u003eWorkshop on Data Analysis in Life Science (DALS 2022): This workshop focused on developing data analysis techniques for life science applications, such as genomics, proteomics, and biological data analysis. The papers presented in this workshop covered topics such as data preprocessing, feature extraction, and machine learning algorithms for life science data.\u003cbr\u003e\u003cbr\u003eWorkshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022): This workshop aimed to explore the use of IoT streams for predictive maintenance applications. The papers presented in this workshop covered topics such as sensor data analysis, machine learning algorithms for fault detection, and real-time monitoring of equipment.\u003cbr\u003e\u003cbr\u003eOverall, ECML PKDD 2022 provided a platform for researchers and practitioners to exchange ideas and share their latest research findings in the fields of machine learning and knowledge discovery in databases. The papers presented in this book represent the state-of-the-art in these areas and will be valuable for researchers, practitioners, and students alike.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 991g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031236174\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44302296449274,"sku":"9783031236174","price":85.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_3ceade1b-aabe-45fa-b6a2-49c7679c6888.jpg?v=1687924425","url":"https:\/\/shulphink.com\/products\/machine-learning-and-principles-and-practice-of-knowledge-discovery-in-databases-international-workshops-of-ecml-pkdd-2022-grenoble-france-september-1923-2022-proceedings-part-i-9783031236174","provider":"Shulph Ink","version":"1.0","type":"link"}