Research on Logistics Big Data Asset Management and Data Mining Based on Particle Swarm Optimization

The increasing progress of mobile Internet provides more opportunities for asset management technology, such as the rise of Internet of things, cloud computing and big data technology. In the field of logistics distribution, with the increasing transaction volume generated by mobile devices, the huge amount of data generated continuously also needs more and more efficient and practical data processing methods. In the field of logistics, logistics big data asset management has also become a new technical means to optimize logistics management and improve distribution efficiency. With the increasing progress of logistics informatization, the scale of logistics data increases geometrically. At present, many logistics information platforms have huge databases, but the data in them are lack of effective analysis and mining, which hides the law and value behind the data. Therefore, it is very necessary to establish a data mining (DM) system based on logistics information platform. According to the characteristics of large amount of cloud data and complex structure, this paper plans and implements a system that can manage the whole life cycle of data from collection to processing, then to cleaning, and finally to production, and capitalize these disordered data.