Search results
Results from the WOW.Com Content Network
The focus is on innovative research in data mining, knowledge discovery, and large-scale data analytics. Papers emphasizing theoretical foundations are particularly encouraged, as are novel modeling and algorithmic approaches to specific data mining problems in scientific, business, medical, and engineering applications.
Open-notebook science is the practice of making the entire primary record of a research project publicly available online as it is recorded. This involves placing the personal, or laboratory, notebook of the researcher online along with all raw and processed data, and any associated material, as this material is generated.
Promising text mining methods such as iProLINK (integrated Protein Literature Information and Knowledge) have been developed to curate data sources that can aid text mining research in areas of bibliography mapping, annotation extraction, protein named entity recognition, and protein ontology development. [96]
Then, go to the Bitcoin Miner app and select “Cash Out” at the top of the screen. ... Free Bitcoin Mining Games: Learn and Earn. Show comments. Advertisement. Advertisement. In Other News.
Alice (Microsoft), a project from Microsoft Research Lab aimed at improving decision-making in Economics; Braina, an intelligent personal assistant application with a voice interface for Windows OS. [32] Cyc, an attempt to assemble an ontology and database of everyday knowledge, enabling human-like reasoning. [33]
There are several critical research challenges in geographic knowledge discovery and data mining. Miller and Han [34] offer the following list of emerging research topics in the field: Developing and supporting geographic data warehouses (GDW's): Spatial properties are often reduced to simple aspatial attributes in mainstream data warehouses ...
Science 2.0 is a suggested new approach to science that uses information-sharing and collaboration made possible by network technologies. [1] [2] [3] It is similar to the open research and open science movements and is inspired by Web 2.0 technologies. [3] [4] Science 2.0 stresses the benefits of increased collaboration between scientists.
Knowledge discovery describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data. [44] It is often described as deriving knowledge from the input data. Knowledge discovery developed out of the data mining domain, and is closely related to it both in terms of methodology and ...