Data in this category may describe different scheduling scenarios in a manufacturing environment, the quality control process some, fault diagnosis in machine operations or processes, risk analysis when granting credit to the applicant, supply chain management in manufacturing systems, or business-related data for decision making. Contents: Enterprise Data Mining: An Overview and Research Directions (TW Liao); Implementation and Comparison of Classification Techniques in Credit Risk Control (L. Yu et al.); Classification balanced input with Enterprise Data et al.); Data Mining (S Daskalaki Process Application Platform for High Variety Production Formation (J & L Zhang Jiao); Multivariate Control Charts from Data Mining Perspective (GC Porzio & G Ragozini); Maintenance Planning Using the Enterprise Data Mining (LP Khoo et al.); Mining Images of cell-based assay (P Perner); Support Vector Machines and Applications (TB Trafalis & OO Oladunni); A Survey-Based Manifold Learning Method (X Huo et al.), and other paper.