This paper documents the condition-based maintenance (CBM) of power transformers, the analysis of which relies on two basic data groups: structured (e.g., numeric and categorical) and unstructured (e.g., natural language text narratives) which accounts for 80% of data required. However, unstru...
The mining of such data represents an unprecedented opportunity for researchers to investigate new research questions and to build a new generation of recommender systems supporting development and maintenance activities. This paper describes works on the application of Min...
Visualizing and Comparing Online Travel Reviews of the Great Walls: A Data Mining Approach This research employs two samples of heritage sites of the Great Wall of China (Ba daling Great Wall and Mu tianyu Great Wall) and their 21000 reviews on TripAdvisor to visualize and induce feature-related...
Social media's influence continues to grow and analyzing social media data is becoming an important issue for research and development and service to learn about what people think and how people feel. Social media data has properties different from traditional data. Thus, traditional data mining ...
On the operational level, unstructured data such as emails, documents, and logs can provide insights into process efficiency, potential bottlenecks, and areas of improvement. For industries such as healthcare, legal, research and development, unstructured data like lab results, case notes, and resear...
Mining software repositories, which is the process of analyzing the data related to software development practices, is an emerging field of research which aims to improve software evolutionary tasks. The data in many software repositories is unstructured (for example, the natural language text in bug...
Imperva Threat Research ShadyShader: Crashing Apple Devices with a Single Click RonMasas Oct 22, 20244 min read Imperva Threat Research ... Application Security Imperva Defends Against Targeted Exploits Used By APT29 Hackers GabiSharadin Oct 14, 20242 min read ...
In the vein of earlier research6,7,11 we extend the knowledge graph constructed from unstructured data by joining information from separate other sources of data. We use crawling and querying for additional records and information about the entities from sources such as DBpedia12. The additional ...
To understand the existing research on related topics, Section 2.1 reviews studies related to patient choice behaviors. Section 2.2 overviews the literature of online review mining methods for healthcare management. Methodology This section proposes an FMCDM method to utilize unstructured data from online...
We suggest that the typical data mining cycle bears many resemblances with proposed models for collaboration manage-ment. We present some preliminary experiments using clustering to discover patterns reflecting user behaviors. Results are very encour-aging and suggest several research directions. 展开 ...