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Knowledge And Information Systems （KAIS） - December 2019, 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 2019, issue 3
发布时间：
卷期年份： 2019
卷期官网： https://link.springer.com/journal/10115/volumes-and-issues/61-3
本期论文列表
Searchable encryption approaches: attacks and challenges

In-memory transaction processing: efficiency and scalability considerations

Spatio-temporal neural networks for space-time data modeling and relation discovery

Parameter investigation of support vector machine classifier with kernel functions

A new rule-based knowledge extraction approach for imbalanced datasets

Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns

Normalisation of imprecise temporal expressions extracted from text

An expected win rate-based real-time bidding strategy for branding campaigns on display advertising

A weakest link-driven global QoS adjustment approach for optimizing the execution of a composite web service

Scalable algorithms for locally low-rank matrix modeling

Combining semantic and term frequency similarities for text clustering

Similarity join on time series by utilizing a dynamic segmentation index

Collective entity resolution in multi-relational familial networks

An adjustable fuzzy classification algorithm using an improved multi-objective genetic strategy based on decomposition for imbalance dataset

Load balanced task scheduling for cloud computing: a probabilistic approach

Query answering over uncertain RDF knowledge bases: explain and obviate unsuccessful query results

Data-driven efficient network and surveillance-based immunization

Categorizing relational facts from the web with fuzzy rough sets

Tag-based information access in image collections: insights from log and eye-gaze analyses

k-Degree anonymity on directed networks

Investigations into Data Ecosystems: a systematic mapping study

Patent retrieval: a literature review

Leveraging external information in topic modelling

Cost optimization based on influence and user preference

Social computing in currency exchange

A hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering

Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor

A novel fuzzy rule extraction approach using Gaussian kernel-based granular computing

PPR-partitioning: a distributed graph partitioning algorithm based on the personalized PageRank vectors in vertex-centric systems

GOAL: a clustering-based method for the group optimal location problem

Joint prediction of time series data in inventory management

A pruning strategy to improve pairwise comparison-based near-duplicate detection

A new local density and relative distance based spectrum clustering

Fast network discovery on sequence data via time-aware hashing

Bottom-up approaches to achieve Pareto optimal agreements in group decision making

Learning concept embeddings for dataless classification via efficient bag-of-concepts densification

Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data

A knowledge-based approach to multiplayer games in peer-to-peer networks

Incorporating word embeddings into topic modeling of short text

Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systems

A survey of statistical approaches for query expansion

Autonomic workload performance tuning in large-scale data repositories

Scalable approximations to k-cycle transversal problems on dynamic networks

Two-hop privacy-preserving nearest friend searches

A graph-based meta-model for heterogeneous data management

Multi-label dataless text classification with topic modeling

Coordination with erroneous communication: results of an agent-based simulation

Utility-based feature selection for text classification

AutoRepair: an automatic repairing approach over multi-source data

Markov chain analysis in agent-based model calibration by classical and simulated minimum distance

Heuristic attribute reduction and resource-saving algorithm for energy data of data centers

SNOD: a fast sampling method of exploring node orbit degrees for large graphs

Effective and efficient location influence mining in location-based social networks

F2ConText: how to extract holistic contexts of persons of interest for enhancing exploratory analysis

Short-term trend prediction in financial time series data

MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks

Improving short-text representation in convolutional networks by dependency parsing

Conditional adjacency anonymity in social graphs under active attacks

HIME: discovering variable-length motifs in large-scale time series

A formal characterization of the outcomes of rule-based argumentation systems