Our digital world creates massive amounts of data every second. Thanks to the communication devices, sensors, and computation we use. They capture information of great value to businesses and governments across the globe.
Search engine companies such as Google, Yahoo!, and Microsoft, for instance, have created an entirely new business model by capturing the information freely available on the web and providing it to people in useful ways. They collect trillions of bytes of data every day and continually add new services such as satellite images, driving directions, and image retrieval. The benefits of these services are immeasurable. Similarly, data can benefit people like scientific researchers, medical practitioners, and those who are involved in defense and intelligence operations to serve human lives in different layers.
Data Science, one of the most significant advances of this century, refers to an emerging area related to the collection, preparation, analysis, visualization, management, and preservation of this data – both structured and unstructured.
To discover, extract, compile, process, analyze, interpret, and visualize data, data science incorporates several technologies and academic disciples. It includes mathematics, statistics, computer science and programming, statistical modeling, database technologies, signal processing, data modeling, artificial intelligence, machine learning, natural language processing, visualization, predictive analytics, and so on.
Data science is highly applicable to many fields: medicine, finance, marketing, security, health care, social sciences, engineering, geolocation, and many more.
In this post, we have listed 40+ top recent research papers in data science. These free, downloadable research papers can shed light on some of the complex areas in data science. Feel free to download. Suggest your favorite research papers with us to be added to this list.
- The PageRank Citation Ranking: Bringing Order to the Web
- A Few Useful Things to Know about Machine Learning
- Big-data computing: creating revolutionary breakthroughs in commerce, science and society
- 50 years of Data Science
- 2015 Data Science Salary Survey
- Data Science on the Google Cloud Platform Implementing
- Introduction to Machine Learning with Python A Guide for Data Scientists
- Data Analytics Integrity: Challenges to Implementation of the Automated Data Collection Processes
- Project Jupyter: Computational narratives as the engine of collaborative data science
- Regression Models for data science in R
- HEALTH BANK-A Workbench for Data Science Applications in Healthcare.
- Data analytics vs. data science : A study of similarities and differences in undergraduate programs based on course descriptions
- Who is doing computational social science Trends in Big Data research
- Tempe: an interactive data science environment for exploration of temporal and streaming data
- Grand challenge: applying regulatory science and big data to improve medical device innovation.
- Foundations of data science
- Advances in Epilepsy: A data science perspective
- HEALTH BANK-A Workbench for Data Science Applications in Healthcare.
- Radio frequency identification: A new opportunity for data science
- Toward a System Building Agenda for Data Integration (and Data Science ).
- Semantic Representation of Data Science Programs.
- A Review on Data Science Technologies
- Big Data: The Next Era of Informatics and Data Science in Medical Imaging: A Literature Review
- Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies
- Big Data Science Training Program at a Minority Serving Institution: Processes and Initial Outcomes
- Value based pricing meets data science : A concept for automated spare part valuation
- What is Data Science
- Data science and healthcare
- On Developing Data Science
- Data Science in Cyber Security: Network Security Threat Detection
- Skills Requirements of Business Data Analytics and Data Science Jobs: A Comparative Analysis
- The Fundamental Principle of Data Science
- Soft Computing in Data Science
- Data Science Based Mg Corrosion Engineering
- How is Statistical Engineering Different from Data Science
- Helping Data Science Students Develop Task Modularity
- Practitioners Teaching Data Science in Industry and Academia: Expectations, Workflows, and Challenges
- The Belmont Report in the Age of Big Data : Ethics at the Intersection of Psychological Science and Data Science
- A guide to Data Science
- Practical Data Science for Actuarial Tasks
- Global River Radar Altimetry Time Series (GRRATS): new river elevation earth science data records for the hydrologic community
- Data science : fundamental principles
- NumPy/SciPy Recipes for Data Science : Information Theoretic Vector Quantization
- Community detection and non-linear dimension reduction techniques in data science
- Foundations for Private, Fair, and Robust Data Science
