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Mobile networks enable wireless communication over wide areas by using a systematic infrastructure of interconnected cell towers and sophisticated protocols to manage mobile data and voice services. They have evolved from simple cellular networks to complex systems supporting high-speed internet access, multimedia messaging, and seamless global connectivity.
Pattern formation refers to the process by which a homogenous system develops structured, often repetitive, configurations due to the interactions of its components. This phenomenon is observed in various disciplines, including biology, chemistry, and physics, and is driven by mechanisms such as reaction-diffusion, symmetry breaking, and self-organization.
Spatial-temporal data mining involves extracting meaningful patterns and knowledge from data that has both spatial and temporal dimensions, enabling insights into phenomena that change over space and time. This field is crucial for applications such as climate change analysis, urban planning, and transportation management, where understanding the dynamics of data in both space and time is essential.
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