With recent advances of information and communication technology, smart city has been
emerged as a new paradigm to dynamically optimize the resources in cities and provide …

In the age of the Internet of Things and social media platforms, huge amounts of digital data
are generated by and collected from many sources, including sensors, mobile devices …

In the current context of smart city, specifically in the industrial and market zones, the traffic
scenario is very congested most of the time particularly at the peak time of business hours …

Big Data analysis refers to advanced and efficient data mining and machine learning
techniques applied to large amount of data. Research work and results in the area of Big …

Due to the increasing number of inhabitants in metropolitan cities, people in well-developed
urban areas routinely deal with traffic congestion problems when traveling from one place to …

Municipal solid waste (MSW) collection has become a major challenge for clean city
management and social sustainable development in developing economies. A new variant …

Processing large-scale graphs is challenging due to the nature of the computation that
causes irregular memory access patterns. Managing such irregular accesses may cause …

This chapter defines the basic concepts of big data analytic platforms. Big data analytic
platforms can be classified by different criteria. There are a variety of infrastructures for big …

Anomaly detection systems, also known as intrusion detection systems (IDSs), continuously
monitor network traffic aiming to identify malicious actions. Extensive research has been …

Delicate registering procedures are tolerant of imprecision, expected on guess, concentrates
on vulnerability and in light of incomplete truth. Current real issue relating to congested …