Geospatial big data handling theory and methods: A review and research challenges
Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …
attention of academia, industry, government and other organizations. Big data can be …
Change detection from remotely sensed images: From pixel-based to object-based approaches
M Hussain, D Chen, A Cheng, H Wei… - ISPRS Journal of …, 2013 - Elsevier
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …
information provides a base for a large number of applications, including local, regional and …
Data Mining The Text Book
C Aggarwal - 2015 - Springer
This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …
complex data types and their applications, capturing the wide diversity of problem domains …
[CITACE][C] The data revolution: Big data, open data, data infrastructures and their consequences
R Kitchin - 2014 - books.google.com
" Carefully distinguishing between big data and open data, and exploring various data
infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and …
infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and …
Spatiotemporal data mining: a survey on challenges and open problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …
between space and time. Several available surveys capture STDM advances and report a …
[HTML][HTML] Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges
In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …
Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models
M Shahvaroughi Farahani, SH Razavi Hajiagha - Soft computing, 2021 - Springer
Today, stock market has important function and it can be a place as a measure of economic
position. People can earn a lot of money and return by investing their money in the stock …
position. People can earn a lot of money and return by investing their money in the stock …
[KNIHA][B] Mastering the information age solving problems with visual analytics
Today, in many spheres of human activity, massive amounts of data are collected and
stored. As the volumes of data available to lawmakers, civil servants, business people and …
stored. As the volumes of data available to lawmakers, civil servants, business people and …
[KNIHA][B] Data mining: concepts and techniques
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
Researching volunteered geographic information: Spatial data, geographic research, and new social practice
S Elwood, MF Goodchild, DZ Sui - Annals of the association of …, 2012 - Taylor & Francis
The convergence of newly interactive Web-based technologies with growing practices of
user-generated content disseminated on the Internet is generating a remarkable new form of …
user-generated content disseminated on the Internet is generating a remarkable new form of …