Data mining.
概要
| 作品: | 875 作品在 520 項出版品 520 種語言 | |
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書目資訊
Data mining for association rules and sequential patterns :sequential and parallel algorithms /
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Microsoft data mining :integrated business intelligence for e-Commerce and knowledge management /
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The customer differential :the complete guide to implementing customer relationship management /
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Data mining techniques :for marketing, sales, and customer relationship management /
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Data mining cookbook :modeling data for marketing, risk and customer relationship management /
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Pattern recognition algorithms for data mining :scalability, knowledge discovery and soft granular computing /
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Kernel based algorithms for mining huge data sets :supervised, semi-supervised, and unsupervised learning /
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Data mining and knowledge discovery approaches based on rule induction techniques /
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Machine learning and data mining for computer security :methods and applications /
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Decomposition methodology for knowledge discovery and datamining :theory and applications /
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Data mining for business intelligence :concepts, techniques, and applications in Microsoft Office Excel with XLMiner /
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Making sense of data :a practical guide to exploratory data analysis and data mining /
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Database mining :propositionalization for Knowledge discovery in relational databases /
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Java data miningstrategy, standard, and practice : a practical guide for architecture, design, and implementation /
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Cooperation in classification and data analysisproceedings of two German-Japanese workshops /
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Evolving application domains of data warehousing and mining :trends and solutions /
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Advances in machine learning IIdedicated to the memory of Professor Ryszard S. Michalski /
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Focusing solutions for data mininganalytical studies and experimental results in real-world domains /
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Advances in data miningapplications in E-commerce, medicine, and knowledge management /
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Data mining and knowledge discovery via logic-based methodstheory, algorithms, and applications /
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Text mining techniques for healthcare provider quality determinationmethods for rank comparisons /
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Intelligent soft computation and evolving data mining :integrating advanced technologies /
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Kernel-based data fusion for machine learningmethods and applications in bioinformatics and text mining /
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Knowledge-driven multimedia information extraction and ontology evolutionbridging the semantic gap /
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Multiobjective genetic algorithms for clusteringapplications in data mining and bioinformatics /
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Foundations of large-scale multimedia information management and retrievalmathematics of perception /
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Integrations of data warehousing, data mining and database technologiesinnovative approaches /
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Intelligent soft computation and evolving data miningintegrating advanced technologies /
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Knowledge discovery practices and emerging applications of data miningtrends and new domains /
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Visual analytics and interactive technologiesdata, text, and web mining applications /
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Ontology learning and knowledge discovery using the Webchallenges and recent advances /
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Dynamic and advanced data mining for progressing technological developmentinnovations and systemic approaches /
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Strategic advancements in utilizing data mining and warehousing technologiesnew concepts and developments /
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Data mining.foundations and intelligent paradigms /Volume 2,Statistical, bayesian, time series and other theoretical aspects
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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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Bisociative knowledge discoveryan introduction to concept, algorithms, tools, and applications /
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Data matchingconcepts and techniques for record linkage, entity resolution, and duplicate detection /
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Multimedia information extraction :advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring /
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Rare association rule mining and knowledge discoverytechnologies 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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Getting started with Beautiful Soup :build your own web scraper and learn all about web scraping with Beautiful Soup /
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Talend for big data :access, transform, and integrate data using Talend's open source, extensible tools /
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Pentaho Analytics for MongoDB :combine Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions /
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Big data, data mining and machine learning :value creation for business leaders and practitioners /
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Social media mining with R :deploy cutting-edge sentiment analysis techniques to real-world social media data using R /
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Data mining techniques in sensor networkssummarization, interpolation and surveillance /
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Data mining and knowledge discovery for big datamethodologies, challenge and opportunities /
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Social interaction, globalization and computer-aided analysisa practical guide to developing social simulation /
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Visualizing the data citysocial media as a source of knowledge for urban planning and management /
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Mastering data-intensive collaboration and decision makingresearch and practical applications in the Dicode Project /
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Astronomy and big dataa data clustering approach to identifying uncertain galaxy morphology /
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Interactive knowledge discovery and data mining in biomedical informaticsstate-of-the-art and future challenges /
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Data mining for managershow to use data (big and small) to solve business challenges /
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Clinical data mining for physician decision making and investigating health outcomesmethods for prediction and analysis /
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The semantic web and web science8th Chinese Conference, CSWS 2014, Wuhan, China, August 8-12, 2014 : revised selected papers /
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Machine learning and cybernetics13th International Conference, Lanzhou, China, July 13-16, 2014 : proceedings /
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Making sense of data I :a practical guide to exploratory data analysis and data mining /
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Making sense of data II :a practical guide to data visualization, advanced data mining methods, and applications /
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Making sense of data III :a practical guide to designing interactive data visualizations /
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Thinking aheadessays on big data, digital revolution, and participatory market society /
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Making sense of data Ia practical guide to exploratory data analysis and data mining /
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Crowdsourcing for speech processingapplications to data collection, transcription and assessment /
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Commercial data miningprocessing, analysis and modeling for predictive analytics projects /
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Serious games analyticsmethodologies for performance measurement, assessment, and improvement /
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Python data analyticsdata analysis and science using Pandas, matplotlib, and the Python programming language /
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Social media processing4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015 : proceedings /
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Discovery science18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings /
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Algorithmic learning theory26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings /
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Foundations of Intelligent Systems22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015 : proceedings /
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Conceptual modeling34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015 : proceedings /
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Big data analytics4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015 : proceedings /
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Social informatics7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015 : proceedings /
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Marketing data science :modeling techniques in predictive analytics with R and Python /
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Application of data mining techniques in the analysis of indoor hygrothermal conditions
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Programmatic advertisingthe successful transformation to automated, data-driven marketing in real-time /
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Private data and public valuegovernance, green consumption, and sustainable supply chains /
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Knowledge transfer between computer vision and text miningsimilarity-based learning approaches /
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Business intelligence5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015 : tutorial lectures /
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Business information systems19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016 : proceedings /
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Improving the user experience through practical data analyticsgain meaningful insight and increase your bottom line /
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Data science & big data analyticsdiscovering, analyzig, visualizing, and presenting data /
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Taming the big data tidal wavefinding opportunities in huge data streams with advanced analytics /
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Fuzziness in information systemshow to deal with crisp and fuzzy data in selection, classification, and summarization /
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Social informatics8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016 : proceedings.Part II /
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Social informatics8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016 : proceedings.Part I /
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Conformance checking and diagnosis in process miningcomparing observed and modeled processes /
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Text analytics with Pythona practical real-world approach to gaining actionable insights from your data /
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Data Science Using Oracle Data Miner and Oracle R Enterprisetransform your business systems into an analytical powerhouse /
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Transactions on large-scale data- and knowledge-centered systems XXXIspecial issue on data and security engineering /
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Making sense of sensorsend-to-end algorithms and infrastructure design from wearable-devices to data center /
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Granular-relational data mininghow 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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Trends in social network analysisinformation propagation, user behavior modeling, forecasting, and vulnerability assessment /
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Behind every good decisionhow anyone can use business analytics to turn data into profitable insight /
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Business Process Management ForumBPM Forum 2017, Barcelona, Spain, September 10-15, 2017, proceedings /
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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 methodsdedicated to Professor Jacek Zurada /
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Toward information justicetechnology, politics, and policy for data in higher education administration /
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Advanced data analytics using Pythonwith machine learning, deep learning and NLP examples /
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Big mechanisms in systems biologybig data mining, network modeling, and genome-wide data identification /
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Mathematical modeling of social relationshipswhat mathematics can tell us about people /
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Applications of data management and analysiscase studies in social networks and beyond /
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Mining lurkers in online social networksprinciples, models, and computational methods /
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Data analysis and visualization using Pythonanalyze data to create visualizations for BI systems /
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Hierarchical feature selection for knowledge discoveryapplication of data mining to the biology of ageing /
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Adaptive resonance theory in social media data clusteringroles, methodologies, and applications /
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Algorithms for computational biology4th International Conference, AlCoB 2017, Aveiro, Portugal, June 5-6, 2017 : proceedings /
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Scala programming for big data analyticsget started with big data analytics using Apache Spark /
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Getting started with Salesforce Einstein analyticsa beginner's guide to building interactive dashboards /
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Data mining for business analytics :concepts, techniques and applications in Python /
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Contemporary experimental design, multivariate analysis and data miningfestschrift in honour of Professor Kai-Tai Fang /
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Learning analytics cookbookhow to support learning processes through data analytics and visualization /
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Learn data mining through Excela step-by-step approach for understanding machine learning methods /
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An introduction to data analysis in Rhands-on coding, data mining, visualization and statistics from scratch /
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Business process management forumBPM Forum 2020, Seville, Spain, September 13-18, 2020 : proceedings /
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Empower decision makers with SAP analytics cloudmodernize BI with SAP's single platform for analytics /
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Guide to mobile data analytics in refugee scenariosthe 'Data for Refugees Challenge' study /
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SQL Server data automation through frameworksbuilding metadata-driven frameworks with T-SQL, SSIS, and Azure Data Factory /
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Getting structured data from the Internetrunning web crawlers/Scrapers on a Big Data Production Scale /
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Make your organization a center of innovationtools and concepts to solve problems and generate ideas /
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Practical Splunk search processing languagea guide for mastering SPL commands for maximum efficiency and outcome /
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Designing digital products for kidsdeliver user experiences that delight kids, parents, and teachers /
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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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A Python data analyst's toolkitlearn Python and Python-based libraries with applications in data analysis and statistics /
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Data-driven mining, learning and analytics for secured smart citiestrends and advances /
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Integrating psychoinformatics with ubiquitous social networkingadvanced mobile-sensing concepts and applications /
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Data science and multiple criteria decision making approaches in financeapplications and methods /
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Machine learning and data mining for emerging trend in cyber dynamicstheories and applications /
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Data Science and Internet of Thingsresearch and applications at the intersection of DS and IoT /
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Splunk certified study guideprepare for the User, Power User, and Enterprise Admin certifications /
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Data science revealedwith feature engineering, data visualization, pipeline development, and hyperparameter tuning /
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Handbook of research on automated feature engineering and advanced applications in data science
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Big data analytics methodsanalytics techniques in data mining, deep learning and natural language processing /
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Data science in theory and practice :techniques for big data analytics and complex data sets /
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Handbook of research on advances in data analytics and complex communication networks /
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Building an effective data science practicea framework to bootstrap and manage a successful data science practice /
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Modern data engineering with Apache Sparka hands-on guide for building mission-critical streaming applications /
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Productive and efficient data science with Pythonwith modularizing, memory profiles, and parallel/GPU processing /
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Handbook of research on artificial intelligence applications in literary works and social media
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Advanced data analytics using Pythonwith architectural patterns, text and image classification, and optimization techniques /
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Machine learning for data science handbookdata mining and knowledge discovery handbook /
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The illusion of controlproject data, computer algorithms and human intuition for project management and control /
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Data science in theory and practicetechniques for big data analytics and complex data sets /
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Data analytics and computational intelligencenovel models, algorithms and applications /
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Learn data mining through Excela step-by-step approach for understanding machine learning methods /
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