Data mining.
概要
| 作品: | 836 作品在 449 項出版品 449 種語言 | |
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書目資訊
Data mining : = practical machine learning tools and techniques with Java implementations /
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Data mining techniques : = for marketing, sales, and customer relationship management /
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The customer differential = the complete guide to implementing customer relationship management /
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Text mining techniques for healthcare provider quality determination : = methods for rank comparisons /
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Advances in machine learning II = dedicated to the memory of Professor Ryszard S. Michalski /
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Automating the design of data mining algorithms = an evolutionary computation approach /
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From sociology to computing in social networks = theory, foundations and applications /
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Integrations of data warehousing, data mining and database technologies = innovative approaches /
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Intelligent soft computation and evolving data mining = integrating advanced technologies /
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Ontology learning and knowledge discovery using the Web = challenges and recent advances /
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Dynamic and advanced data mining for progressing technological development = innovations and systemic approaches /
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Strategic advancements in utilizing data mining and warehousing technologies = new concepts and developments /
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Data mining = concepts, methods and applications in management and engineering design /
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Data mining. = foundations and intelligent paradigms /. Volume 1,. Clustering, association and classification
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Data mining. = foundations and intelligent paradigms /. Volume 3,. Medical, health, social, biological and other applications
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Evolving application domains of data warehousing and mining = trends and solutions /
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Advances in data mining : = applications in E-commerce, medicine, and knowledge management /
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Decomposition methodology for knowledge discovery and data mining : = theory and applications /
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Mastering data mining : = the art and science of customer relationship management /
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Data mining cookbook : = modeling data for marketing, risk and customer relationship management /
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The customer differential : = the complete guide to implementing customer relationship management /
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Data mining for business intelligence : = concepts, techniques, and applications in Microsoft Office Excel with XLMiner /
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Managing data mining technologies in organizations = techniques and applications /
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Microsoft data mining = integrated business intelligence for e-Commerce and knowledge management /
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Organizational data mining = leveraging enterprise data resources for optimal performance /
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Terrorism Informatics = Knowledge Management and Data Mining for Homeland Security /
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Pentaho solutions : = business intelligence and data warehousing with Pentaho and MySQL /
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Java data mining = strategy, standard, and practice : a practical guide for architecture, design, and implementation /
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Focusing solutions for data mining = analytical studies and experimental results in real-world domains /
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Advances in data mining = applications in E-commerce, medicine, and knowledge management /
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Data mining and knowledge discovery via logic-based methods = theory, algorithms, and applications /
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Data mining in public and private sectors = organizational and government applications /
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Knowledge discovery practices and emerging applications of data mining = trends and new domains /
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Visual analytics and interactive technologies = data, text, and web mining applications /
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Kernel-based data fusion for machine learning = methods and applications in bioinformatics and text mining /
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Social network mining, analysis, and research trends = techniques and applications /
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Crowdsourcing geographic knowledge : = volunteered geographic information (VGI) in theory and practice /
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Data mining and knowledge discovery for big data = methodologies, challenge and opportunities /
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Visualizing the data city = social media as a source of knowledge for urban planning and management /
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Interactive knowledge discovery and data mining in biomedical informatics = state-of-the-art and future challenges /
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Clinical data mining for physician decision making and investigating health outcomes = methods for prediction and analysis /
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Predictive analytics, data mining and big data : = myths, misconceptions and methods /
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Data mining for managers = how to use data (big and small) to solve business challenges /
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Machine learning and cybernetics = 13th International Conference, Lanzhou, China, July 13-16, 2014 : proceedings /
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Thinking ahead = essays on big data, digital revolution, and participatory market society /
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Making sense of data I = a practical guide to exploratory data analysis and data mining /
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Crowdsourcing for speech processing = applications to data collection, transcription and assessment /
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Python data analytics = data analysis and science using Pandas, matplotlib, and the Python programming language /
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Social media processing = 4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015 : proceedings /
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Discovery science = 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings /
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Algorithmic learning theory = 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings /
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Conceptual modeling = 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015 : proceedings /
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Statistical data analytics : = foundations for data mining, informatics, and knowledge discovery : solutions manual /
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Application of data mining techniques in the analysis of indoor hygrothermal conditions
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Private data and public value = governance, green consumption, and sustainable supply chains /
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Business intelligence = 5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015 : tutorial lectures /
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Data science & big data analytics = discovering, analyzig, visualizing, and presenting data /
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Disruptive analytics = charting your strategy for next-generation business analytics /
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Fuzziness in information systems = how to deal with crisp and fuzzy data in selection, classification, and summarization /
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Conformance checking and diagnosis in process mining = comparing observed and modeled processes /
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Data Science Using Oracle Data Miner and Oracle R Enterprise = transform your business systems into an analytical powerhouse /
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Behind every good decision = how anyone can use business analytics to turn data into profitable insight /
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Learning Scrapy : = learn the art of efficient web scraping and crawling with Python /
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Web scraping with Python : = scrape data from any website with the power of Python /
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Highlighting the importance of big data management and analysis for various applications
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Advances in data analysis with computational intelligence methods = dedicated to Professor Jacek Zurada /
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Cognitive computing for big data systems over IoT = frameworks, tools and applications /
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Data mining algorithms in C++ = data patterns and algorithms for modern applications /
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Assessing and improving prediction and classification = theory and algorithms in C++ /
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Toward information justice = technology, politics, and policy for data in higher education administration /
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Big mechanisms in systems biology : = big data mining, network modeling, and genome-wide data identification /
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Visual and spatial analysis = advances in data mining reasoning, and problem solving /
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Data matching = concepts and techniques for record linkage, entity resolution, and duplicate detection /
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Social and political implications of data mining : = knowledge management in e-government /
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Rare association rule mining and knowledge discovery = technologies for infrequent and critical event detection /
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Practical text mining and statistical analysis for non-structured text data applications
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Data mining techniques in sensor networks = summarization, interpolation and surveillance /
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Social interaction, globalization and computer-aided analysis = a practical guide to developing social simulation /
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Mastering data-intensive collaboration and decision making = research and practical applications in the Dicode Project /
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Astronomy and big data = a data clustering approach to identifying uncertain galaxy morphology /
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Customer and business analytics : = applied data mining for business decision making using R /
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Automated data collection with R : = a practical guide to Web scraping and text mining /
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Commercial data mining = processing, analysis and modeling for predictive analytics projects /
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Data-driven optimization and knowledge discovery for an enterprise information system
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Serious games analytics = methodologies for performance measurement, assessment, and improvement /
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Big data analytics = 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015 : proceedings /
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Sentic computing = a common-sense-based framework for concept-level sentiment analysis /
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Social informatics = 7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015 : proceedings /
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Programmatic advertising = the successful transformation to automated, data-driven marketing in real-time /
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Knowledge transfer between computer vision and text mining = similarity-based learning approaches /
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Improving the user experience through practical data analytics = gain meaningful insight and increase your bottom line /
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Business information systems = 19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016 : proceedings /
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Text analytics with Python = a practical real-world approach to gaining actionable insights from your data /
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Data mining and constraint programming = foundations of a cross-disciplinary approach /
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Transactions on large-scale data- and knowledge-centered systems XXXI = special issue on data and security engineering /
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Making sense of sensors = end-to-end algorithms and infrastructure design from wearable-devices to data center /
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Granular-relational data mining = how to mine relational data in the paradigm of granular computing? /
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Handbook of research on advanced data mining techniques and applications for business intelligence
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Winning with data : = transform your culture, empower your people, and shape the future /
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Business Process Management Forum = BPM Forum 2017, Barcelona, Spain, September 10-15, 2017, proceedings /
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Advanced data analytics using Python = with machine learning, deep learning and NLP examples /
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Text mining techniques for healthcare provider quality determination = methods for rank comparisons /
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Taming the big data tidal wave = finding opportunities in huge data streams with advanced analytics /
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Adaptive resonance theory in social media data clustering = roles, methodologies, and applications /
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An introduction to data analysis in R = hands-on coding, data mining, visualization and statistics from scratch /
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Kernel based algorithms for mining huge data sets : = supervised, semi-supervised, and unsupervised learning /
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A Python data analyst's toolkit = learn Python and Python-based libraries with applications in data analysis and statistics /
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Research in Intelligent and Computing in Engineering = select proceedings of RICE 2020 /
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Integrating psychoinformatics with ubiquitous social networking = advanced mobile-sensing concepts and applications /
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Data science and multiple criteria decision making approaches in finance = applications and methods /
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Empower decision makers with SAP analytics cloud = modernize BI with SAP's single platform for analytics /
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Business process management forum = BPM Forum 2020, Seville, Spain, September 13-18, 2020 : proceedings /
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SQL Server data automation through frameworks = building metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory /
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Getting structured data from the Internet = running web crawlers/Scrapers on a Big Data Production Scale /
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Make your organization a center of innovation = tools and concepts to solve problems and generate ideas /
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Practical Splunk search processing language = a guide for mastering SPL commands for maximum efficiency and outcome /
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Modern data engineering with Apache Spark = a hands-on guide for building mission-critical streaming applications /
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Productive and efficient data science with Python = with modularizing, memory profiles, and parallel/GPU processing /
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The illusion of control = project data, computer algorithms and human intuition for project management and control /
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Machine learning for data science handbook = data mining and knowledge discovery handbook /
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Data analytics and computational intelligence = novel models, algorithms and applications /
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Learn data mining through Excel = a step-by-step approach for understanding machine learning methods /
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Practical implementation of a data lake = translating customer expectations into tangible technical goals /
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Data science in theory and practice = techniques for big data analytics and complex data sets /
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Hierarchical feature selection for knowledge discovery = application of data mining to the biology of ageing /
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Getting started with Salesforce Einstein analytics = a beginner's guide to building interactive dashboards /
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Learning analytics cookbook = how to support learning processes through data analytics and visualization /
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Learn data mining through Excel = a step-by-step approach for understanding machine learning methods /
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Data Science and Internet of Things = research and applications at the intersection of DS and IoT /
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Splunk certified study guide = prepare for the User, Power User, and Enterprise Admin certifications /
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Data science revealed = with feature engineering, data visualization, pipeline development, and hyperparameter tuning /
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Machine learning and data mining for emerging trend in cyber dynamics = theories and applications /
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Data-driven mining, learning and analytics for secured smart cities = trends and advances /
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Deep learning with Python = learn best practices of deep learning models with PyTorch /
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Guide to mobile data analytics in refugee scenarios = the 'Data for Refugees Challenge' study /
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Handbook of research on automated feature engineering and advanced applications in data science
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Big data analytics methods = analytics techniques in data mining, deep learning and natural language processing /
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Contemporary experimental design, multivariate analysis and data mining = festschrift in honour of Professor Kai-Tai Fang /
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Designing digital products for kids = deliver user experiences that delight kids, parents, and teachers /
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Building an effective data science practice = a framework to bootstrap and manage a successful data science practice /
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