Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. It is an essential process where intelligent methods are applied to extract data patterns. It is an interdisciplinary subfield of computer science. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.

Biomining is a technique of extracting metals from ores and other solid materials typically using prokaryotes or fungi. These organisms secrete different organic compounds that chelate metals from the environment and bring it back to the cell where they are typically used to coordinate electrons. It was discovered in the mid 1900s that microorganisms use metals in the cell. Some microbes can use stable metals such as iron, copper, zinc, and gold as well as unstable atoms such as uranium and thorium. Companies can now grow large chemostats of microbes that are leaching metals from their media, these vats of culture can then be transformed into many marketable metal compounds. Biomining is an environmentally friendly technique compared to typical mining. Mining releases many pollutants while the only chemicals released from biomining is any metabolites or gasses that the bacteria secrete. The same concept can be used for bioremediation models. Bacteria can be inoculated into environments contaminated with metals, oils, or other toxic compounds. The bacteria can clean the environment by absorbing these toxic compounds to create energy in the cell. Microbes can achieve things at a chemical level that could never be done by humans. Bacteria can mine for metals, clean oil spills, purify gold, and use radioactive elements for energy.

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. It is an essential process where intelligent methods are applied to extract data patterns. It is an interdisciplinary subfield of computer science. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.

Biomining is a technique of extracting metals from ores and other solid materials typically using prokaryotes or fungi. These organisms secrete different organic compounds that chelate metals from the environment and bring it back to the cell where they are typically used to coordinate electrons. It was discovered in the mid 1900s that microorganisms use metals in the cell. Some microbes can use stable metals such as iron, copper, zinc, and gold as well as unstable atoms such as uranium and thorium. Companies can now grow large chemostats of microbes that are leaching metals from their media, these vats of culture can then be transformed into many marketable metal compounds. Biomining is an environmentally friendly technique compared to typical mining. Mining releases many pollutants while the only chemicals released from biomining is any metabolites or gasses that the bacteria secrete. The same concept can be used for bioremediation models. Bacteria can be inoculated into environments contaminated with metals, oils, or other toxic compounds. The bacteria can clean the environment by absorbing these toxic compounds to create energy in the cell. Microbes can achieve things at a chemical level that could never be done by humans. Bacteria can mine for metals, clean oil spills, purify gold, and use radioactive elements for energy.

I am not an expert in Bio Mining but the little I have read about it shows that Data Mining and Bio Mining are two totally different processes but related in the sense of mining. Although mining is now associated with data, in the literal sense, it is "the extraction of valuable minerals or other geological materials from the earth, usually from an orebody, lode, vein, seam, reef or placer deposit". https://en.wikipedia.org/wiki/Mining. Since one requirement of data mining is to extract data from databases, it is similar to extracting minerals from an ore body, hence considered mining. Also, they both take place within a system or space. Data is mined from database while bio mining occurs within tank like reactors.

The differences are that one is bio based, the other is computer based. One seeks to gain insight while the other targets minerals or more like metals to be used in other processes. Data mining generally seeks to process data otherwise nearly deemed unusable or worthless in its raw form to a form which can be understood. The processed form of data can then be used to gain insight depending on the type of data and the intent of the user. Bio mining is more of using a process composed of biological organisms to collect metals (mostly rare earth elements located on the periodic table). These elements find much application in renewable energy, phones, electric cars, etc.Traditional means always results in some form of atmospheric and water pollution due to the amount of energy used. Many metal mining countries are turning to Bio mining because it is cheap, does not require much energy and generate less waste or pollution. In my opinion, we will see more countries and people get involved in bio mining because of its advantages over traditional means.

Oh and Yusha Araf is totally correct. I did not read his response before answering the question. pardon me

Data mining is the technique of identifying underlying patterns in the data. Discovering new knowledge. It works on extracting information from the data in a precise manner which can be used for decision making and act as input to some other process.

Bio mining is related to biological organisms which collect metals.

There is a huge difference between Bio mining and Data Mining.

Yusha Araf

Thanks for your clarification

Isaac Akogwu

Thanks, appreciate your efforts

Kalyani Sambhoo

Thank you so much for your answer and valuable information

Biomining is so versatile that it can be used on other planetary bodies. Bioleaching studies on the international space station have shown microorganisms from extreme environments on Earth can leach a large variety of important minerals and metals from rocks when exposed to the cold, heat, radiation and vacuum of space.

Data mining requires human intervention to apply machine learning methodologies on specific only datasets, in order to improve or deduct new classification patterns.