— This research topic aims to provide a platform for new research and recent advances in the safety and sustainability of mining. We welcome submissions by experts and scholars on the topics of safety mining, sustainable mining, mineral resource management, technology of intelligent mining, research and development of intelligent …

Data mining is defined as the process of discovering hidden and potentially useful information from very large databases [4].The progress in data mining research has made it possible to implement several data mining operations efficiently on large databases. While this is surely an important contribution, we should not lose sight of the final goal of data …

 — Data Mining Tutorial covers basic and advanced topics, this is designed for beginner and experienced working professionals too. This Data Mining Tutorial help you to gain the fundamental of Data Mining for exploring a wide range of techniques.

 — Data Mining Research Topics. Data mining is a rapidly growing field that involves extracting useful patterns and knowledge from large datasets. Researchers in this field study various techniques and algorithms to mine and analyze data for effective decision-making. If you are interested in pursuing research in data mining, this article …

Explore the latest full-text research PDFs, articles, conference papers, preprints and more on DATA MINING. Find methods information, sources, references or conduct a literature review on DATA MINING

Spatial Data Mining, Geovisualization. C. Kim, in International Encyclopedia of Human Geography, 2009 Geovisualization in spatial data mining is one of the main methods that has recently been the subject of knowledge discovery research in geographic information science. Geovisualization is often referred to as knowledge discovery in that it produces …

 — Selection of a research topic is a challenge for students and professionals alike. This paper addresses those challenges by presenting some strategies based on existing body of knowledge and the ...

 — Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, …

 — Many toxic and harmful substances from mine tailings produced in the process of metal mining and smelting migrate and diffuse to the surrounding environment through various channels during the long open storage process. After long-term rainwater leaching and soaking, residual heavy metal elements are repeatedly soaked by …

Aim: This study is set to determine the main topics of the nursing field and to show the changing perspectives over time by analysing the abstracts of several major nursing research journals using text mining methodology. Design: Text mining and network analysis. Methods: Text analysis combines automatic and manual operations to identify patterns …

 — Many topics within the map constitute potential areas for further synthesis or primary research on the impacts of particular types of mining on certain outcomes (described in Implications for Research, above). Relevant funders and decision-makers should ensure they are aware of these gaps and clusters, and commission further …

 — Innovation plays a critical role in the mining industry as a tool to improve the efficiency of its processes, to reduce costs, but also to meet the increasing social and environmental concerns among communities …

Projects in Mining Geology Research. We elucidate the geological processes that form ore deposits to identify mineral exploration vectors; We use geological data to improve safety during mine operations; We …

Within the Department, collaborative and cross-cutting contract research initiatives are coordinated and facilitated by the Mining Resilience Research Centre (MRRC). The Department's extensive in-house expertise is also …

 — The Department of Mining Engineering offers students and faculty state-of-the-art laboratories for teaching and for research in a wide range of research specialties within mining engineering. These include: Research Areas Ground Control WVU's mining program has contributed significantly in developing the unique field known as Ground …

 — Mining Technology is devoted to the publication of original, peer-reviewed research on all aspects of underground, opencast and offshore mining operations, including mine management and finance, mineral resources management, mine design and development, and planning control and mining law. View full journal description

 — The last two topics, Text Mining and Data Streams have attracted steady interest from researchers. The results presented here shed light on the structure and trends of data mining over...

UA mining and geological engineering research focuses on the following primary areas: Geophysical sensing techniques. Mine health and safety. Mineral and chemical characterization. Mineral processing, …

The Integration of Geomorphic Design into West ia Surface Mine Reclamation, Alison E. Sears. PDF. Truck Cycle and Delay Automated Data Collection System (TCD-ADCS) for Surface Coal Mining, Patricio G. Terrazas Prado. PDF. New Abutment Angle Concept for Underground Coal Mining, Ihsan Berk Tulu. Theses/Dissertations from 2011 PDF

 — It is widely used in research, medical, business and security to turn large data into useful information. Get started from the above list of projects from beginner to advanced and sharpen your skills. These data …

 — Topics of interest could include, but are not limited to: Technical aspects for sustainable mining; Sustainable management of mining operations; Environmental impacts of mining; Reforestation to …

 — Mining affects biodiversity at multiple spatial scales (site, landscape, regional and global) through direct (i.e. mineral extraction) and indirect processes (via industries supporting mining operations, and …

There are various hot topics in Data Mining to do research and for the thesis. The Euclidean distance is calculated from the centroid point to cluster similar and dissimilar points from the data set. The prediction analysis is the technique which is applied to the input dataset to predict current and future situations according to the input ...

 — Aggarwal and Zhai explored the importance of mining text data, an appealing research topic, given that the amount of web-enabled data has increased and facilitates the exploration of vast quantities of textual data. A comparison of the classical and modern aspects of text mining was also described.

The Artificial Intelligence and Machine Learning and Data Mining research community expands the state of the art at these, the field's most prestigious and selective conferences: ... Research Topics: Graph mining; social network analysis; network science; temporal network analysis; combinatorial scientific computing; stream processing; ...

 — Mining topics are areas where NIOSH has formerly been or is currently engaged in performing research and producing publications. Click on a topic to explore an overview, or click on the symbol next to a topic to expand or collapse its content categories, including related projects and contracts.

 — F inding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. Here, we'll explore a variety research ideas and topic thought-starters related to various environmental science disciplines, including ecology, oceanography, hydrology, geology, soil science, …

 — Based on the BERTopic model, this study analyzes 15,744 scientific papers in the field of functional agriculture from 1995 to 2024 to uncover core themes and evolutionary trends in global functional agriculture, and particularly focuses on revealing the developmental trajectory in China. The results indicate that global functional agriculture …

 — Text mining adalah suatu proses untuk mengekstraksi informasi yang berguna dari teks yang tidak terstruktur. Tujuan utama text mining adalah untuk mengubah teks yang didapat dari beragam sumber ...

Our developers constantly compile latest data mining project ideas and topics to help student learn more about data mining algorithms and their usage in the software industry. Since data mining algorithms can be used for a wide variety of purposes from behavior prediction to suspicious activity detection our list of data mining projects keeps ...