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Data mining
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The concept ** Data mining** represents the subject, aboutness, idea or notion of resources found in **European University Institute Library**.

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Data mining
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**Data mining**represents the subject, aboutness, idea or notion of resources found in**European University Institute Library**.- Label
- Data mining

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- A Course in In-Memory Data Management : The Inner Mechanics of In-Memory Databases
- A Python data analyst's toolkit : learn Python and Python-based libraries with applications in data analysis and statistics
- A data scientist's guide to acquiring, cleaning, and managing data in R
- A general introduction to data analytics
- A practical guide to analytics for governments : using big data for good
- A tour of data science : learn R and Python in parallel
- A user's guide to business analytics
- Advanced R
- Advanced analytics with PySpark : patterns for learning from data at scale using Python and Spark
- Advanced data analytics using Python : with machine learning, deep learning and NLP examples
- Advanced data mining techniques
- Advanced data mining tools and methods for social computing
- Advanced data science and analytics with Python
- Advances in Data Science and Information Engineering : Proceedings from ICDATA 2020 and IKE 2020
- Advances in Econometrics, Operational Research, Data Science and Actuarial Studies : Techniques and Theories
- Advances in Fuzzy Group Decision Making
- Advances in Knowledge Management : Celebrating Twenty Years of Research and Practice
- Advances in Research Methods for Information Systems Research : Data Mining, Data Envelopment Analysis, Value Focused Thinking
- Advancing into analytics: : from Excel to Python and R
- All you can pay : how companies use our data to empty our wallets
- An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch
- An Introduction to Pattern Recognition and Machine Learning
- An introduction to text mining : research design, data collection, and analysis
- Analysis and Enumeration : Algorithms for Biological Graphs
- Analysis of Large and Complex Data
- Ancient manuscripts in digital culture : visualisation, data mining, communication
- Ancient manuscripts in digital culture : visualisation, data mining, communication
- Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement
- Applied data analytics : principles and applications
- Applied data mining for business and industry
- Approximation and Computation in Science and Engineering
- Artificial intelligence in data mining : theories and applications
- Automated data collection with R : a practical guide to Web scraping and text mining
- Automated data collection with R : a practical guide to web scraping and text mining
- Aviation security, privacy, data protection and other human rights : technologies and legal principles
- Be data literate : the data literacy skills everyone needs to succeed
- Beyond spreadsheets with R : a beginner's guide to R and RStudio
- Big Data Analytics : Methods and Applications
- Big Data in Context : Legal, Social and Technological Insights
- Big and Complex Data Analysis : Methodologies and Applications
- Big crisis data : social media in disasters and time-critical situations
- Big data and Society
- Big data and business analytics
- Big data and social science : a practical guide to methods and tools
- Big data demystified : how to use big data, data science and AI to make better business decisions and gain competitive advantage
- Big data fundamentals : concepts, drivers & techniques
- Big data in healthcare : statistical analysis of the electronic health record
- Big data mining and complexity
- Big data mining and machine learning : value creation for business leaders and practitioners
- Big data mining for climate change
- Big data, health law, and bioethics
- Big data, mining, and analytics : components of strategic decision making
- Bisociative Knowledge Discovery : An Introduction to Concept, Algorithms, Tools, and Applications
- Business unintelligence : insight and innovation beyond analytics and big data
- CBRNE: Challenges in the 21st Century
- Classification and Data Analysis : Theory and Applications
- Classification and data mining
- Classification, (Big) Data Analysis and Statistical Learning
- Clinical Text Mining : Secondary Use of Electronic Patient Records
- Clustering : a data recovery approach
- Clustering for data mining : a data recovery approach
- Computational Conflict Research
- Computational and Methodological Statistics and Biostatistics : Contemporary Essays in Advancement
- Computational intelligent data analysis for sustainable development
- Confident data skills : how to work with data and futureproof your career
- Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang
- Contemporary perspectives in data mining
- Context-Aware Machine Learning and Mobile Data Analytics : Automated Rule-based Services with Intelligent Decision-Making
- Data Analysis and Classification : Methods and Applications
- Data Analysis and Rationality in a Complex World
- Data Analysis, Machine Learning and Knowledge Discovery
- Data Mining with SPSS Modeler : Theory, Exercises and Solutions
- Data Mining with SPSS Modeler : Theory, Exercises and Solutions
- Data Science : Innovative Developments in Data Analysis and Clustering
- Data Science Techniques for Cryptocurrency Blockchains
- Data Science and Social Research II : Methods, Technologies and Applications
- Data Science, Learning by Latent Structures, and Knowledge Discovery
- Data analysis and visualization using Python: : analyze data to create visualizations for BI systems
- Data analysis using SQL and Excel
- Data analytics : models and algorithms for intelligent data analysis
- Data analytics and big data
- Data driven decisions : a practical toolkit for librarians and information professionals
- Data mining
- Data mining : concepts, models, methods, and algorithms
- Data mining algorithms : explained using R
- Data mining and business analytics with R
- Data mining and knowledge discovery technologies
- Data mining and learning analytics : applications in educational research
- Data mining and mathematical programming
- Data mining for business analytics : concepts, techniques, and applications in JMP Pro
- Data mining for business analytics : concepts, techniques, and applications in R
- Data mining for business analytics : concepts, techniques, and applications with XLMiner
- Data mining for dummies
- Data mining for the social sciences : an introduction
- Data mining in time series and streaming databases
- Data mining the Web : uncovering patterns in Web content, structure, and usage
- Data science
- Data science : concepts and practice
- Data science : the executive summary : a technical book for non-technical professionals
- Data science : theory and applications
- Data science : time complexity, inferential uncertainty, and spacekime analytics
- Data science and analytics with Python
- Data science bookcamp : five Python projects
- Data science from scratch : first principles with Python
- Data science fundamentals for Python and MongoDB
- Data science in theory and practice : techniques for big data analytics and complex data sets
- Data science revealed : with feature engineering, data visualization, pipeline development, and hyperparameter tuning
- Data science with Python and Dask
- Data smart : using data science to transform information into insight
- Data wrangling with Python
- Data, now bigger and better!
- Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part I
- Database Systems for Advanced Applications : 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III
- Decision Making and Knowledge Decision Support Systems : VIII International Conference of RACEF, Barcelona, Spain, November 2013 and International Conference MS 2013, Chania Crete, Greece, November 2013
- Deep Reinforcement Learning : Fundamentals, Research and Applications
- Democracy's data : the hidden stories in the U.S. census and how to read them
- Developing econometrics
- Developments in data extraction, management, and analysis
- Digital Transformation of Collaboration : Proceedings of the 9th International COINs Conference
- Dimensionality Reduction in Data Science
- Discovery and fusion of uncertain knowledge in data
- Discrimination and Privacy in the Information Society : Data Mining and Profiling in Large Databases
- Doing data science : [straight talk from the frontline]
- Doing data science in R : an introduction for social scientists
- Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
- Enhancing knowledge discovery and innovation in the digital era
- Evaluative Informetrics : The Art of Metrics-Based Research Assessment : Festschrift in Honour of Henk F. Moed
- Event Attendance Prediction in Social Networks
- Excel data analysis for dummies
- Exploiting semantic web knowledge graphs in data mining
- Exploring Susceptible-Infectious-Recovered (SIR) Model for COVID-19 Investigation
- Exploring malicious hacker communities : toward proactive cyber defence
- Exploring the Design and Effects of Internal Knowledge Markets
- Fashion Recommender Systems
- Foundations of data intensive applications : large scale data analytics under the hood
- Fourier-Malliavin Volatility Estimation : Theory and Practice
- Frontiers in Statistical Quality Control 12
- Frontiers in Statistical Quality Control 13
- Frontiers in data science
- Fundamentals of big data : network analysis for research and industry
- Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies
- Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies
- Fuzzy Data Warehousing for Performance Measurement : Concept and Implementation
- Gary King on big data analysis : Podcast
- Getting started with data science : making sense of data with analytics
- Google bigquery analytics
- Handbook of Big Data Analytics
- Harvard data science review : HDSR : a microscopic, telescopic, and kaleidoscopic view of data science
- Health Care Systems Engineering : HCSE, Florence, Italy, May 2017
- Heron Streaming : Fundamentals, Applications, Operations, and Insights
- High performance computing for big data : methodologies and applications
- How to talk to data scientists : a guide for executives
- Human capital systems, analytics, and data mining
- If then : how the Simulmatics Corporation invented the future
- Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
- Improving knowledge discovery through the integration of data mining techniques
- Inductive Fuzzy Classification in Marketing Analytics
- Industrial Engineering and Operations Management : XXVI IJCIEOM (2nd Edition), Rio de Janeiro, Brazil, February 22-24, 2021
- Industrial Engineering and Operations Management : XXVI IJCIEOM, Rio de Janeiro, Brazil, July 8–11, 2020
- Information quality data analytics : the potential of data and analytics to generate knowledge
- Intelligent data analysis : from data gathering to data comprehension
- Introduction to Data Systems : Building from Python
- Introduction to data mining and analytics with machine learning in R and Python
- Introduction to data science : data analysis and prediction algorithms with R
- Introduction to machine learning
- Introduction to machine learning with Python : a guide for data scientists
- Investigative data mining for security and criminal detection
- Knowledge democracy : consequences for science, politics, and media
- Knowledge discovery from legal databases
- Knowledge discovery in the social sciences : a data mining approach
- Language Technologies for the Challenges of the Digital Age : 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings
- Learn R for applied statistics : with data visualizations, regressions, and statistics
- Learn data analysis with Python : lessons in coding
- Learn data mining through Excel : a step-by-step approach for understanding machine learning methods
- Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models
- Learning data mining with R : develop key skills and techniques with R to create and customize data mining algorithms
- Learning to love data science : explorations of emerging technologies and platforms for predictive analytics, machine learning, digital manufacturing, and supply chain optimization
- Machine Learning Techniques for Online Social Networks
- Machine Learning for Authorship Attribution and Cyber Forensics
- Machine learning : the art and science of algorithms that make sense of data
- Machine learning for data streams : with practical examples in MOA
- Machine-learning Techniques in Economics : New Tools for Predicting Economic Growth
- Making social sciences more scientific : the need for predictive models
- Mastering Python for data science : explore the world of data science through Python and learn how to make sense of data
- Mastering machine learning with Python in six steps : a practical implementation guide to predictive data analytics using Python
- Mathematical Foundations of Data Science Using R
- Mathematical Modeling of Social Relationships : What Mathematics Can Tell Us About People
- Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016
- Measuring the Data Universe : Data Integration Using Statistical Data and Metadata Exchange
- Meta-Analytics : consensus approaches and system patterns for data analysis
- Millions, billions, zillions : defending yourself in a world of too many numbers
- Mining of massive datasets
- Mining the Internet : information gathering & research on the Net
- Mining the social web
- Mining the social web
- Modeling online auctions
- Modern Classification and Data Analysis : Methodology and Applications to Micro- and Macroeconomic Problems
- Modern data mining algorithms in C++ and CUDA C : recent developments in feature extraction and selection algorithms for data science
- Modern data science with R
- Modern technologies for big data classification and clustering
- Movie Analytics : A Hollywood Introduction to Big Data
- Multivariate Statistics : Exercises and Solutions
- Network Intelligence Meets User Centered Social Media Networks
- Network Models in Economics and Finance
- Network data mining and analysis
- Numerical Nonsmooth Optimization : State of the Art Algorithms
- Our bodies, our data : how companies make billions selling our medical records
- Pattern recognition : a quality of data perspective
- Pattern recognition and big data
- Personality Traits and Drug Consumption : A Story Told by Data
- Practical Python data wrangling and data quality : getting started with reading, cleaning, and analyzing data
- Practical data analysis : transform, model, and visualize your data through hands-on projects, developed in open source tools
- Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python
- Practical data science with Python 3 : synthesizing actionable insights from data
- Practical text mining and statistical analysis for non-structured text data applications
- Practical web scraping for data science : best practices and examples with Python
- Predictive analysis on large data for actionable knowledge : emerging research and opportunities
- Principles of data mining
- Private Data and Public Value : Governance, Green Consumption, and Sustainable Supply Chains
- Python and R for the modern data scientist : the best of both worlds
- Python data analytics : data analysis and science using pandas, matplotlib and the Python programming language
- Python data analytics : with Pandas, NumPy, and Matplotlib
- Python data science handbook : essential tools for working with data
- Python for Probability, Statistics, and Machine Learning
- Python for R users : a data science approach
- Python for data analysis
- Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter
- Python for data analysis : data wrangling with pandas, NumPy, and IPython
- Python for data science
- Python for data science : a hands-on introduction
- Python for data science for dummies
- Quantitative Semiotic Analysis
- Quantum machine learning : what quantum computing means to data mining
- Querying and mining uncertain data streams
- Real World Data Mining Applications
- Reality mining : using big data to engineer a better world
- Recent Progress in Data Engineering and Internet Technology : Volume 1
- Recommender Systems Handbook
- Recommender Systems in Fashion and Retail
- Reinforcement Learning From Scratch : Understanding Current Approaches - with Examples in Java and Greenfoot
- Representation Learning : Propositionalization and Embeddings
- SAGE Research Methods
- Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
- Secure data science : integrating cyber security and data science
- Seeing around corners : how to unlock the potential of big data
- Semantic modeling for data : avoiding pitfalls and breaking dilemmas
- Sentiment analysis : mining opinions, sentiments, and emotions
- Service Industry Databook : Understanding and Analyzing Sector Specific Data Across 15 Nations
- Smart City Networks : Through the Internet of Things
- SmartParticipation : A Fuzzy-Based Recommender System for Political Community-Building
- Social Media e Sentiment Analysis : L'evoluzione dei fenomeni sociali attraverso la Rete
- Social Network Based Big Data Analysis and Applications
- Social Networks and Surveillance for Society
- Social media analytics for user behavior modeling : a task heterogeneity perspective
- Social media data mining and analytics
- Social media mining : an introduction
- Spectral feature selection for data mining
- Statistical Decision Problems : Selected Concepts and Portfolio Safeguard Case Studies
- Statistical Foundations, Reasoning and Inference : For Science and Data Science
- Statistical Learning and Modeling in Data Analysis : Methods and Applications
- Statistical Learning of Complex Data
- Statistical Methods for Ranking Data
- Statistical Modeling in Biomedical Research : Contemporary Topics and Voices in the Field
- Statistical data science
- Statistical learning and data science
- Statistics for Data Science and Policy Analysis
- Symbolic data analysis : conceptual statistics and data mining
- Targeting Uplift : An Introduction to Net Scores
- Terrorism Informatics : Knowledge Management and Data Mining for Homeland Security
- Testing and tuning market trading systems : algorithms in c++
- Text Analytics : Advances and Challenges
- Text analytics with Python : a practitioner's guide to natural language processing
- Text and context : language analytics in finance
- Text mining : a guidebook for the social sciences
- Text mining : a guidebook for the social sciences
- Text mining in practice with R
- Text mining with R : a tidy approach
- The Beginner's Guide to Data Science
- The Econometrics of Multi-dimensional Panels : Theory and Applications
- The Future Internet : Future Internet Assembly 2012: From Promises to Reality
- The best thinking in business analytics from the Decision Sciences Institute
- The digital factory for knowledge : production and validation of scientific results
- The elements of statistical learning : data mining, inference, and prediction
- The essentials of data science : knowledge discovery using R
- The golden age of data : media analytics in study & practice
- The influences of big data analytics : is big data a disruptive technology?
- The metric society : on the quantification of the social
- The model thinker : what you need to know to make data work for you
- The open handbook of linguistic data management
- The self-service data roadmap : democratize data and reduce time to insight
- Thoughtful machine learning : [a test-driven approach]
- Towards Advanced Data Analysis by Combining Soft Computing and Statistics
- Tracing the Life Cycle of Ideas in the Humanities and Social Sciences
- Transactions on Rough Sets XXII
- Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention
- Using Open Data to Detect Organized Crime Threats : Factors Driving Future Crime
- Visual Analytics for Data Scientists
- Web content mining for analyzing job requirements in online job advertisements
- Web scraping with Python : collecting data from the modern web
- Web scraping with Python : collecting data from the modern web
- Working with text : tools, techniques and approaches for text mining

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