Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Flock by leader: a novel machine learning biologically inspired clustering algorithm
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
The transformation of surgery patient care with a clinical research information system
Expert Systems with Applications: An International Journal
Handling time changing data with adaptive very fast decision rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
A survey of intelligent assistants for data analysis
ACM Computing Surveys (CSUR)
Language independent gender classification on Twitter
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
The demand for consistent web-based workflow editors
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
Information and Software Technology
Hi-index | 0.00 |
The Konstanz Information Miner is a modular environment, which enables easy visual assembly and interactive execution of a data pipeline. It is designed as a teaching, research and collaboration platform, which enables simple integration of new algorithms and tools as well as data manipulation or visualization methods in the form of new modules or nodes. In this paper we describe some of the design aspects of the underlying architecture, briey sketch how new nodes can be incorporated, and highlight some of the new features of version 2.0.