The sustainable smart city is primarily a concept and there is still not a clear and consistent definition among practitioners and academia. In a simplistic explanation, a smart city is a place where traditional networks and services are made more flexible, efficient, and sustainable with the use of information, digital and telecommunication technologies, to improve its operations for the benefit of its inhabitants. Smart cities are greener, safer, faster and friendlier. The different components of a smart city include smart infrastructure, smart transportation, smart energy, smart healthcare, and smart technology. These components are what make cities smart and efficient. Information and communication technology are enabling keys for transforming traditional cities into smart cities. The two closely related emerging technology frameworks Internet of Things and Big Data make smart cities efficient and responsive. The technology has matured reasonably to allow smart cities to emerge. However, there is much need in terms of physical infrastructure, and renewable energy to make the majority of cities worldwide smart. Even today, there are not enough studies on how regulations collaborate to make cities smarter and more sustainable. This paper contributes to filling this gap by investigating the main guidelines of the new City Statute that have the greatest potential to contribute to having smarter and more sustainable smart cities connect people and places using innovative technologies such as Data Mining (DM), Machine Learning (ML), big data, and the Internet of Things (IoT). More recently, the challenges posed by the increasing urbanization experienced by most countries have increased societal demands for more efficient and sustainable urban services, in a digital revolution environment and more sustainability. The study aims to identify the main Data Mining techniques used in the context of smart cities and how the research field of Data Mining for smart cities. To prioritize the guidelines of the contemporary City, the methodology used the strategies of smart city and significant applications of nonlinear analysis to make integration with the main principles of sustainability to enhance the concept of the sustainable smart city so The systems are under increasing environmental, social and economic pressures for sustainable prosperity.