Data mining (DM) with Big Data has been widely used in the lifecycle of electronic products that range from the design and production stages to the service stage. A comprehensive analysis of DM with Big Data and a review of its application in the stages of its lifecycle will not only benefit researchers to develop strong research themes and identify gaps in the field but also help practitioners for DM application system development. In this paper, a brief clarification of DM-related topics is presented first. A flowchart of DM and the main content of the flowchart steps are given in which commonly used data preparation and preprocessing approaches, DM functions and techniques, and performances indicators are summarized. Then, a comprehensive review covering 105 articles from 2007 to 2017 on DM or Big Data applications in the electronics industry is provided according to the flowchart from various points of view such as data handling, applications of DM, or Big Data at different lifecycle stages, and the software used in the applications. On this basis, a diagram of data content for different knowledge areas and a framework for DM and Big Data applications in the electronics industry are established. Finally, conclusions and future research directions are given.

Objective:This study analyzes the spatial distribution of scrub typhus in Korea.Methods:A spatial distribution of Orientia tsutsugamushi occurrence using a geographic information system (GIS) is presented, and analyzed by means of spatial clustering and correlations.Results:The provinces of Gangwon-do and Gyeongsangbuk-do show a low incidence throughout the year. Some districts have almost identical environmental conditions of scrub typhus incidence. The land use change of districts does not directly affect the incidence rate.Conclusion:GIS analysis shows the spatial characteristics of scrub typhus. This research can be used to construct a spatial-temporal model to understand the epidemic tsutsugamushi.

For the postoperative treatment of oocyte carcinoma, CT and CT ultrasonography combined with microscopic intraperitoneal should be combined with peritoneal heat perfusion chemotherapy. The authors selected 50 patients who received treatment for ovarian cancer from 2017 to 2018 and divided them into two groups (observation group, 30 cases, control group, 20 cases). Cisplatin, associated with peritoneal hyperthermia, led the control group, and we monitored all patients for 1 year and provided clinical trials, lifestyle, and results for both disease group. The experimental results showed that the target reduction rate of the control group was 70%, while that of the control group was only 40%, lower than that of the control group P < 0.05 . The life expectancy of the control group was higher than that of the control group, P < 0.05 . Nausea, vomiting, diarrhea, bone marrow compression, and constipation in the study group were slightly higher than those in the control group (35%), but there was no significant difference between the two groups ( P > 0.05 ). Chemotherapy combined with intraperitoneal infusion of loplatin has no side effects, helps improve survival, and can be used in a variety of clinical trials.

Land surface temperature (LST) is an important parameter in the analysis of climate and human-environment interactions. Landsat Earth observation satellite data including a thermal band have been used for environmental research and applications; however, the spatial resolution of this thermal band is relatively low. This study investigates an efficient method of fusing Landsat panchromatic and thermal infrared images using a sparse representation (SR) technique. The application of SR is used for the estimation of missing details of the available thermal infrared (TIR) image to enhance its spatial features. First, we propose a method of building a proper dictionary considering the spatial resolution of the original thermal image. Second, a sparse representation relation between low- and high-resolution images is constructed in terms of the Landsat spectral response. We then compare the fused images created with different sampling factors and patch sizes. The results of both qualitative and quantitative evaluation show that the proposed method improves spatial resolution and preserves the thermal properties of basic LST data for use with environmental problems.

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