Learning in the presence of concept drift and hidden contexts
Machine Learning
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Incremental clustering and dynamic information retrieval
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Data streams: algorithms and applications
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Clustering Moving Data With a Modified Immune Algorithm
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
Incremental Clustering for Mining in a Data Warehousing Environment
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Issues in data stream management
ACM SIGMOD Record
An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
An Incremental Approach to Building a Cluster Hierarchy
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
SpamAssassin
Architecture for an Artificial Immune System
Evolutionary Computation
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
Applied Soft Computing
Artificial immune system inspired behavior-based anti-spam filter
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Web intelligence and change discovery
Online classification of nonstationary data streams
Intelligent Data Analysis
A neuro-fuzzy immune inspired classifier for task-oriented texts
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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As data streams are gaining prominence in a growing number of emerging applications, advanced analysis and mining of data streams is becoming increasingly important. In this paper, an immune-inspired incremental feature selection algorithm called ISFaiNET is proposed as a solution for mining data streams, immune network memory antibody set which is far less than the size of data streams is design as a sketch data set. We can get the change features to the most extent by this set. ISFaiNET have the ability of feature extraction of dynamically tracking increasing huge size information by introducing increment strategy such as window mechanism. The empirical results for our algorithm are presented and discussed which demonstrate acceptable accuracy coupled with efficiency in running time.