Research on Media Art Cloud Service Based on Data Mining in Big Data Era

Big data's advent has revolutionized human perspectives, prompting exploration into leveraging its potential to create value: to produce new products and services, Cloud computing stands as the cornerstone of unlocking data value in the era of big data. This paper delves into the data mining techniques within media art cloud services, illustrating their significance in harnessing valuable insights, introduces the equipment of original data in the system, the fuzziness of filling data, and the platform architecture of big data mining media art cloud service based on Hadoop. To enhance the classification effectiveness of Web services, a novel classification algorithm leveraging data mining technology is introduced for cloud environments. Initially, service feature vectors are extracted and preprocessed to form a set of service feature vectors. Subsequently, this feature vector set undergoes training using the least square support vector machine. The ultimate aim is to ensure easy user access to services while maintaining system stability. Achieving this objective involves designing a fault-tolerant mechanism within the cloud system.