'WEKA is an open source project which contains algorithms and tools that can be used for data mining. There are a variety of tools available in WEKA that can perform all the tasks necessary to crunch through large volumes of data.
Weka x64 is a software developed by students at the University of Waikato which is currently being operated by many institutes for use in data analysis and research projects. It uses a machine learning algorithm to study given data with extremely accurate results. Penulis buku terkenal. Although Weka has a full suite of algorithms for data analysis, it has been built to handle data as single flat files. Subsequently, it does not handle multi-relational mining and sequence modeling. Overall, Weka is a good data mining tool with a comprehensive suite of algorithms.
WEKA was developed by and is supported by the University of Waikato in New Zealand. There are Massive Open Online Courses (MOOC) for WEKA that enable you to learn how to use the WEKA tools to analyze your data. There are beginning, intermediate and advanced data analysis courses available.
Each is taught by a professor from the Department of Computer Science from the University of Waikato. You can access your dataset via JDBC, CSV or a variety of other connection methodologies. You load the data into WEKA, train your data model and process your data. In addition to the ability to develop Java solutions using the WEKA tools, you can also access WEKA functionality from.NET, Python and Groovy.
There are often additional steps required, but the core functionality is available to these other development tools.'