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Knowledge And Information Systems （KAIS） - April 2020, issue 4 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： April 2020, issue 4
发布时间：
卷期年份： 2020
卷期官网： https://link.springer.com/journal/10115/volumes-and-issues/62-4
本期论文列表
Reasoning with smart objects’ affordance for personalized behavior monitoring in pervasive information systems

Trajectory splicing

ProSecCo: progressive sequence mining with convergence guarantees

Multi-label crowd consensus via joint matrix factorization

A new last aggregation method of multi-attributes group decision making based on concepts of TODIM, WASPAS and TOPSIS under interval-valued intuitionistic fuzzy uncertainty

Sentiment analysis on big sparse data streams with limited labels

Parallel co-location mining with MapReduce and NoSQL systems

Micro- and macro-level churn analysis of large-scale mobile games

Effective construction of classifiers with the k-NN method supported by a concept ontology

On the calculation of the strength of threats

Measuring similarity and relatedness using multiple semantic relations in WordNet

Consistent updating of databases with marked nulls

Finding events in temporal networks: segmentation meets densest subgraph discovery

A benchmarking tool for the generation of bipartite network models with overlapping communities

A survey of state-of-the-art approaches for emotion recognition in text

Random walk-based entity representation learning and re-ranking for entity search

Exploiting review embedding and user attention for item recommendation

Supervised learning as an inverse problem based on non-smooth loss function

Decision support for personalized hospital choice using the DEX hierarchical model with SMAA

Online anomaly search in time series: significant online discords

L-BiX: incremental sliding-window aggregation over data streams using linear bidirectional aggregating indexes

Improved covering-based collaborative filtering for new users’ personalized recommendations

SUM-optimal histograms for approximate query processing

Lexifield: a system for the automatic building of lexicons by semantic expansion of short word lists

Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning

Feature extraction from null and non-null spaces of kernel local discriminant embedding

Recommender systems with selfish users

The examination of the effect of the criterion for neural network’s learning on the effectiveness of the qualitative analysis of multidimensional data

CAMAR: a broad learning based context-aware recommender for mobile applications

A scalable and effective rough set theory-based approach for big data pre-processing

Sentiment lexicons and non-English languages: a survey

A descriptive framework for the field of knowledge management

Surface pattern-enhanced relation extraction with global constraints

Deep end-to-end learning for price prediction of second-hand items

A fuzzy-AHP-based approach to select software architecture based on quality attributes (FASSA)

Exploring the collective human behavior in cascading systems: a comprehensive framework

Cross-domain recommender system using generalized canonical correlation analysis

SLA-driven resource re-allocation for SQL-like queries in the cloud

Automatic role identification for research teams with ranking multi-view machines

Big high-dimension data cube designs for hybrid memory systems

Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm

Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation

HEEL: exploratory entity linking for heterogeneous information networks

Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach

Automatic attribute construction for basketball modelling

Random walk-based ranking in signed social networks: model and algorithms

Measures of uncertainty for knowledge bases

Leader-aware community detection in complex networks

Anomaly detection of event sequences using multiple temporal resolutions and Markov chains

Dynamic clustering of interval data based on hybrid \(L_q\) distance

Unsupervised online change point detection in high-dimensional time series

A new order relation for Pythagorean fuzzy numbers and application to multi-attribute group decision making

Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity

Generating synthetic positive and negative business process traces through abduction

Scalability and sparsity issues in recommender datasets: a survey

A scalable privacy-preserving framework for temporal record linkage

An integrated trust establishment model for the internet of agents

Resolution-based rewriting for Horn-\(\mathcal {SHIQ}\) ontologies

A review of mobile sensing systems, applications, and opportunities

Mutual clustering on comparative texts via heterogeneous information networks

Histogram-based clustering of multiple data streams

Rate of change analysis for interestingness measures

Mining maritime traffic conflict trajectories from a massive AIS data

An intelligence approach for group stock portfolio optimization with a trading mechanism

Constructing biomedical domain-specific knowledge graph with minimum supervision

Analysis of loss functions for fast single-class classification

Exploiting block co-occurrence to control block sizes for entity resolution

Multi-agent system application for music features extraction, meta-classification and context analysis

A survey of recent methods on deriving topics from Twitter: algorithm to evaluation

Label similarity-based weighted soft majority voting and pairing for crowdsourcing

Case notion discovery and recommendation: automated event log building on databases

On spatial keyword covering

Location histogram privacy by Sensitive Location Hiding and Target Histogram Avoidance/Resemblance

Verifying the manipulation of data objects according to business process and data models

Fraud detection via behavioral sequence embedding

Improving the \(\epsilon \)-approximate algorithm for Probabilistic Classifier Chains

Navigation leads for exploratory search and navigation in digital libraries

Fast and memory-efficient algorithms for high-order Tucker decomposition

A multi-breakpoints approach for symbolic discretization of time series

PCA-based drift and shift quantification framework for multidimensional data

A compact firefly algorithm for matching biomedical ontologies

Coverage-based query subtopic diversification leveraging semantic relevance

Review selection based on content quality

Cyber security incidents analysis and classification in a case study of Korean enterprises

Review of English literature on figurative language applied to social networks

Online sales prediction via trend alignment-based multitask recurrent neural networks

DBkWik: extracting and integrating knowledge from thousands of Wikis

Fast generation of sequential patterns with item constraints from concise representations

A decision support system for service recovery in affective computing: an experimental investigation

Scalable recovery of missing blocks in time series with high and low cross-correlations

Incremental community discovery via latent network representation and probabilistic inference

Outsourcing analyses on privacy-protected multivariate categorical data stored in untrusted clouds

Collaborative online ranking algorithms for multitask learning

Extreme pivots: a pivot selection strategy for faster metric search

Semi-supervised multi-label feature learning via label enlarged discriminant analysis

Missing data imputation using decision trees and fuzzy clustering with iterative learning

English–Arabic collocation extraction to enhance Arabic collocation identification

Enhancing supervised bug localization with metadata and stack-trace

Framework for extreme imbalance classification: SWIM—sampling with the majority class

Nearest base-neighbor search on spatial datasets

Kernel conditional clustering and kernel conditional semi-supervised learning

Exploiting patterns to explain individual predictions

Integrating learned and explicit document features for reputation monitoring in social media

Identifying at-risk students based on the phased prediction model

A systematic framework of predicting customer revisit with in-store sensors

Evidential positive opinion influence measures for viral marketing

Dynamically updating approximations based on multi-threshold tolerance relation in incomplete interval-valued decision information systems

Local low-rank Hawkes processes for modeling temporal user–item interactions

Accelerating pattern-based time series classification: a linear time and space string mining approach

Information-preserving abstractions of event data in process mining

High average-utility sequential pattern mining based on uncertain databases

Two approaches for clustering algorithms with relational-based data

Locally and globally explainable time series tweaking

An FPA and GA-based hybrid evolutionary algorithm for analyzing clusters

CDLFM: cross-domain recommendation for cold-start users via latent feature mapping

Queries of K-discriminative paths on road networks

Detecting outliers with one-class selective transfer machine

Structured query construction via knowledge graph embedding

Recurrent random forest for the assessment of popularity in social media

An effective few-shot learning approach via location-dependent partial differential equation

Improved algorithms for extrinsic author verification

\({\textsf {SecDM}}\): privacy-preserving data outsourcing framework with differential privacy

Machine learning friendly set version of Johnson–Lindenstrauss lemma

From decision knowledge to e-government expert systems: the case of income taxation for foreign artists in Belgium

Sequential pattern sampling with norm-based utility

Memory-based random walk for multi-query local community detection

Correction to: Memory-based random walk for multi-query local community detection

An efficient projection-based method for high utility itemset mining using a novel pruning approach on the utility matrix

Fast LSTM by dynamic decomposition on cloud and distributed systems

Integrating researchers’ scientific production information through Ogmios

Discovering dependencies with reliable mutual information

Service cost-based resource optimization and load balancing for edge and cloud environment

A joint optimization framework for better community detection based on link prediction in social networks

SNOWL model: social networks unification-based semantic data integration

An experimental study of graph-based semi-supervised classification with additional node information

Pythagorean fuzzy MULTIMOORA method based on distance measure and score function: its application in multicriteria decision making process

Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization

A systematic survey on collaborator finding systems in scientific social networks

Modeling, learning, and simulating human activities of daily living with behavior trees

Learning sequence-to-sequence affinity metric for near-online multi-object tracking

Mining evolutions of complex spatial objects using a single-attributed Directed Acyclic Graph

A search space optimization method for fuzzy access control auditing

Fisher-regularized supervised and semi-supervised extreme learning machine

Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set

Bag of biterms modeling for short texts

Efficient computation of the convex hull on sets of points stored in a k-tree compact data structure

Precise temporal slot filling via truth finding with data-driven commonsense

A survey on context awareness in big data analytics for business applications

A survey on influence maximization in a social network

Bayesian network classifiers using ensembles and smoothing

Measuring time-sensitive user influence in Twitter

Discovery of evolving companion from trajectory data streams

A novel possibilistic artificial immune-based classifier for course learning outcome enhancement

EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data

Empower rumor events detection from Chinese microblogs with multi-type individual information

“Just-in-time” generation of datasets by considering structured representations of given consent for GDPR compliance

Enhancing unsupervised domain adaptation by discriminative relevance regularization

Decision model change patterns for dynamic system evolution

Tell me something my friends do not know: diversity maximization in social networks

Survival neural networks for time-to-event prediction in longitudinal study

Rule extraction from neural network trained using deep belief network and back propagation

TAILOR: time-aware facility location recommendation based on massive trajectories

PragmaticOIE: a pragmatic open information extraction for Portuguese language