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Knowledge And Information Systems （KAIS） - December 2012, issue 3 论文列表

点击这里查看 Knowledge And Information Systems 的JCR分区、影响因子等信息
卷期号： December 2012, issue 3
发布时间：
卷期年份： 2012
卷期官网： https://link.springer.com/journal/10115/volumes-and-issues/33-3
本期论文列表
Graph mining for discovering infrastructure patterns in configuration management databases

Analyzing collective behavior from blogs using swarm intelligence

Threshold conditions for arbitrary cascade models on arbitrary networks

Efficient algorithms for influence maximization in social networks

Algorithms for mining the evolution of conserved relational states in dynamic networks

Wrapper positive Bayesian network classifiers

Mining frequent conjunctive queries in relational databases through dependency discovery

Structuring persistent chat conversations: experimental results of the chatsistance tool

Novel approaches to crawling important pages early

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

Dynamic classifier ensemble for positive unlabeled text stream classification

Density-based weighting multi-surface least squares classification with its applications

Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions

A countably infinite mixture model for clustering and feature selection

MDL-based time series clustering

Restoring coverage to the Bayesian false discovery rate control procedure

Spatial co-location pattern discovery without thresholds

Diverse dimension decomposition for itemset spaces

Batch incremental processing for FP-tree construction using FP-Growth algorithm

Data preprocessing techniques for classification without discrimination

Data classification through an evolutionary approach based on multiple criteria

Exponential family tensor factorization: an online extension and applications

Web user clustering and Web prefetching using Random Indexing with weight functions

Online active multi-field learning for efficient email spam filtering

From global to local and viceversa: uses of associative rule learning for classification in imprecise environments

A software trustworthiness evaluation model using objective weight based evidential reasoning approach

Compression and aggregation of Bayesian estimates for data intensive computing

Facing the reality of data stream classification: coping with scarcity of labeled data