Knowledge And Information Systems（KAIS ）的DECEMBER 2017, ISSUE 3论文列表

卷期号： December 2017, issue 3

发布时间：

卷期年份： 2017

卷期官网： https://link.springer.com/journal/10115/volumes-and-issues/53-3

Recent advances in feature selection and its applications

A valences-totaling model for English sentiment classification

A GPU-oriented online recommendation algorithm for efficient processing of time-varying continuous data streams

Toward intrusion detection using belief decision trees for big data

CITIESData: a smart city data management framework

Mining collective knowledge: inferring functional labels from online review for business

Crowd labeling latent Dirichlet allocation

An algorithmic framework for frequent intraday pattern recognition and exploitation in forex market

Document-level sentiment classification using hybrid machine learning approach

Recent advances in document summarization

Collegial activity learning between heterogeneous sensors

Distributed and scalable sequential pattern mining through stream processing

Time-weighted counting for recently frequent pattern mining in data streams

A new accelerated proximal technique for regression with high-dimensional datasets

A formal series-based unification of the frequent itemset mining approaches

Data-dependent dissimilarity measure: an effective alternative to geometric distance measures

Dynamic sampling of text streams and its application in text analysis

Effective sparsity control in deep belief networks using normal regularization term

Crowdsourcing for data management

Measuring in-network node similarity based on neighborhoods: a unified parametric approach

FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy

DANCer: dynamic attributed networks with community structure generation

Spatial and semantical label inference for social media

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

Data placement in massively distributed environments for fast parallel mining of frequent itemsets

Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering

\(L_p\)-Support vector machines for uplift modeling