yusuke1997/dblp-id-title huggingface dataset:
Graphs enriched by cubes for OLAP on bibliographic networks
Information accuracy verification system of invoice metadata based on data warehouse
Micropayment proposal with formal verification using coloured Petri nets and performance analysis on the Android platform
Fibonacci retracement pattern recognition for forecasting foreign exchange market
A comparative study and performance analysis of multirelational classification algorithms
CARs-RP: Lasso-based class association rules pruning
Innovative model of real estate financing based on internet of things thinking
Temporal autoencoder architectures with attention for ECG anomaly detection
A clustering and TreeMap-based approach for query reuse and visualisation in large data repositories
Performance evaluation of oversampling algorithm: MAHAKIL using ensemble classifiers
A survey on adoption of blockchain in healthcare
The approach of using ontology as a pre-knowledge source for semi-supervised labelled topic model by applying text dependency graph
High dimensional sentiment classification of product reviews using evolutionary computation
Embedded indicators to facilitate the exploration of a data cube
Application of a hybrid data mining model to identify the main predictive factors influencing hospital length of stay
Fraud detection with machine learning: model comparison
A review of market basket analysis on business intelligence and data mining
Discovery of characteristic patterns from tabular structured data including missing values
Biomedical signal to image conversion and classification using flexible deep learning techniques
A data classification method for innovation and entrepreneurship in applied universities based on nearest neighbour criterion
Data mining of serial-episode association rules using gap-constrained minimal occurrences
A collaborative content-based movie recommender system
Machine learning-based forecasting of significant daily returns in foreign exchange markets
Fuzzy clustering of intuitionistic fuzzy data
ZELESSA: an enabler for real-time sensing, analysing and acting on continuous event streams
Understanding urban development types and drivers in Wallonia: a multi-density approach
A review of scalable time series pattern recognition
Automated support thresholds for rule mining
Optimal knowledge extraction technique based on hybridisation of improved artificial bee colony algorithm and cuckoo search algorithm
Nearest neighbour approach with non-parametric regression analysis for multiple time-series modelling and predictions
AGS: a precise and efficient AI-based hybrid software effort estimation model
The mediation roles of purchase intention and brand trust in relationship between social marketing activities and brand loyalty
Integrated robotics architecture with Kansei computing and its application
Benchmarking tree-based least squares twin support vector machine classifiers
Apriori-roaring: frequent pattern mining method based on compressed bitmaps
A comparison of imputation methods in the presence of imprecise data when employing a neural network s-Sigmoid function
An incremental data mining algorithm for discovering web access patterns
Research history generation from metainformation of research papers using maximum margin clustering
A novel attribute-based dynamic clustering with schedule-based rotation method for outlier detection
Impact of clustering on quality of recommendation in cluster-based collaborative filtering: an empirical study
Semantic web service discovery for mobile web services
Constrained co-clustering with non-negative matrix factorisation
Combined local colour curvelet and mesh pattern for image retrieval system
Presenting a model to reduce students' academic drop by using analytical comparison of machine learning algorithms in data mining (case study of Shahed University)
The choice problem of the urban performances to support the Pachino's redevelopment plan
A unified framework for protecting sensitive association rules in business collaboration
Understanding the structure of terrorist networks
Performance evaluation of a fuzzy-based CAC scheme for wireless cellular networks: a case study considering priority of on-going connections
Personalised recommendation method for smart library literature based on user behaviour feature perception
Reduced representations of Emerging Cubes for OLAP database mining
Distribution-based methods of preserving data privacy in Distributed Spatial Data Warehouse
The devaluation of property due to the perception of health risk in polluted industrial cities
A family of Extended Fuzzy Description Logics
Defining and transforming security rules in an MDA approach for DWs
Optimal feature subset selection in high dimensional data clustering
Analytics on talent search examination data
Sentimental event detection from Arabic tweets
Privacy-preserving multi-party decision tree induction
Modelling economic choice under radical uncertainty: machine learning approaches
Discovery of dangerous self-medication methods with patients, by using social network mining
ScrAnViz: a tool for analytics and visualisation of unstructured data
Online allocation of network learning resources based on parallel cluster mining
Using advanced web ontology language properties for deriving novel and consistent association rules
Building a hybridised meta-heuristic optimisation algorithm for efficient cluster analysis
Acquisition of a classification model for a risk search system from unbalanced textual examples
Intelligent panic disorder treatment by using biofeedback analysis and web technologies
Support vector machines based on K-means clustering for real-time business intelligence systems
Effective ubiquitous service provisioning based on Knowledge Circulation Framework
Parsing and verification method of basic power grid data based on multi data source fusion
Mining big data streams using business analytics tools: a bird's eye view on MOA and SAMOA
Supervised and unsupervised learning for characterising the industrial material defects
A Tabu Search strategy to solve cell formation problem with ratio level data
GAM: a guidance enabled association mining environment
BNEMiner: mining biomedical literature for extraction of biological target, disease and chemical entities
Anomaly detection for elderly home care
A precision marketing method for e-commerce considering the hidden behavioural characteristics of user online shopping
Efficient clustering technique for regionalisation of a spatial database
Multiobjective decision support for defining secure business processes: a case study
A predictive model of electricity quality indicator in distribution subsidiaries
Predicting symbolic interval-valued data through symmetrical nonlinear regression
Time and structural anomalies detection in business processes using process mining
Extracting attractive packaging colours to affect the customers' subconscious using data mining
Fuzzy logic and coherence control in multi-criteria evaluation of urban redevelopment projects
Identification of authorship and prevention of fraudulent transactions/cybercrime using efficient high performance machine learning techniques
A novel visualisation and interaction technique for exploring multidimensional data
Book classification recommendation method for university libraries based on collaborative filtering algorithm
Research on classification of educational digital resources based on KNN algorithm
Optimising the number of course sections given optimal course sequence to support student retention
Distributed algorithms for improved associative multilabel document classification considering reoccurrence of features and handling minority classes
A parallel approach for web session identification to make recommendations efficient
A deep regression convolutional neural network using whole image-based inferencing for dynamic visual crowd estimation
PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings
A semantic analysis of Chinese radicals
Fostering collaborative knowledge building by the effective provision of knowledge about the discussion process
Robust automatic classification of benign and malignant microcalcification and mass in digital mammography
Prediction method of college students' achievements based on learning behaviour data mining
An evaluation method of innovation and entrepreneurship ability of college students based on implicit knowledge mining
An English MOOC similar resource clustering method based on grey correlation
An estimate model for the equalisation of real estate tax: a case study
Analysing full text content by means of a flexible co-citation analysis inspired text mining method - exploring 15 years of JASSS articles
Quantitative assessments of the spatial distribution of business clusters in Ireland
Recommender using weighted frequent itemset refinement methodology of usage clusters
Some studies on mapping methods
A novel classification-based parallel frequent pattern discovery model for decision making and strategic planning in retailing
Real-time predictive big data analytics system: forecasting stock trend using technical indicators
Evaluating the performance of regression algorithms on datasets with missing data
Multifractal-based cluster hierarchy optimisation algorithm
Cluster analysis on time series gene expression data
A granularity theory for modelling spatio-temporal phenomena at multiple levels of detail
A method for evaluating the quality of teaching reform based on fuzzy comprehensive evaluation
A visual framework to understand similarity queries and explore data in Metric Access Methods
A clustering method of bloggers based on social annotations
Managing manufacturing efficiency using the concept of automation with human touch
A purpose-based synchronisation protocol of multiple transactions in multi-agent systems
SHOMAN: an efficient method for finding the important nodes in a network
Optimal feature selection for classification using rough set-based CGA-NN classifier
Appraisal of companies with Bayesian networks
A cluster and label approach for classifying imbalanced data streams in the presence of scarcely labelled data
Hybrid automation of student activity records in virtual learning environments in semi-dark scenarios
An evaluation of business solutions in manufacturing enterprises
Students search interest model over an organisation based on web log data
Data warehousing and mining technologies for adaptability in turbulent resources business environments
A technique for semantic annotation and retrieval of e-learning objects
Portfolio selection with support vector regression: multiple kernels comparison
Estimating cluster validity using compactness measure and overlap measure for fuzzy clustering
A three-way density peak clustering algorithm based on sinusoidal fuzzy entropy
State-of-the-art approaches for event detection over Twitter stream: a survey
On prevention of attribute disclosure and identity disclosure against insider attack in collaborative social network data publishing
Bankruptcy prediction for Japanese firms: using Multiple Criteria Linear Programming data mining approach
Turning point from economies of scale to quality enhancement: a marketable quality and profitability model for corporations
Performance amelioration of MANETs using cooperative routing with cross-layer design
An effective encryption algorithm for multi-keyword-based top-K retrieval on cloud data
An XML-enabled data mining query language: XML-DMQL
Analysing thyroid disease using density-based clustering technique
Enterprise financial risk early warning method based on PCA and SVM algorithms
Web mining based on word-centric search with clustering approach using MLP-PSO hybrid
Intelligent evaluation method for multimedia network public opinion decline period based on multi-divisional optimisation
Application of a record linkage software to identify mortality of enrolees of large integrated healthcare organisations
Accurate identification of health status of substation equipment based on multi-source data fusion
SCHISM: a new approach to interesting subspace mining
The application of machine learning in real estate enterprise risk management
Use of the BI systems for organising the information space of the university
Suspicious tweet identification using machine learning approaches for improving social media marketing analysis
Visual analysis of financial big data based on data centre
An evaluation method for searching the functional relationships between property prices and influencing factors in the detected data
Prediction of box-office success: a review of trends and machine learning computational models
A personalised recommendation method for English teaching resources on MOOC platform based on data mining
Trustworthy acquaintances in Peer-to-Peer (P2P) overlay networks
Process-driven data analytics supported by a data warehouse model
Dynamic self-learning water-masking algorithm for AATSR, MERIS, and SPOT VEGETATION
Accurate recognition of ancient handwritten Tamil characters from palm prints for the Siddha medicine systems
Stability analysis of feature ranking techniques in the presence of noise: a comparative study
Correlating pre-search and in-search context to predict search intent for exploratory search
Discovery of rare association rules in the distribution of lawsuits in the federal justice system of Southern Brazil
The influencing factors of consumers' purchase behaviour preference in the internet market based on joint analysis
Unsupervised Topic Detection in document collections: an application in marketing and business journals
Diminishing downsides of Data Mining
Convolutional neural network for classification of SiO 2 scanning electron microscope images
A prediction method of purchasing intention of e-commerce consumers in network marketing
Mining N-most interesting itemsets without support threshold by the COFI-tree
Application of Genetic Algorithms for QoS routing in mobile ad-hoc networks: approaches and solutions
Effective optimisation of Honda algorithm for rear end collision avoidance system with genetic algorithm
An efficient missing value imputation and evaluation using GK-KH means and HTR-RNN
A refined pushing method for financial product marketing data based on user interest mining
Evaluation of the importance of data pre-processing order when combining feature selection and data sampling
Research on aircraft landing schedule using opposition-based genetic algorithm with Cauchy mutation
A hybrid framework for job scheduling on cloud using firefly and BAT algorithm
Fragmenting very large XML data warehouses via K-means clustering algorithm
Enhancing purchase decision using multi-word target bootstrapping with part-of-speech pattern recognition algorithm
Privacy preserving data mining using hiding maximum utility item first algorithm by means of grey wolf optimisation algorithm
EIDBSCAN: An Extended Improving DBSCAN algorithm with sampling techniques
Fuzzy-based review rating prediction in e-commerce
A fast clustering approach for large multidimensional data
Personalised recommendation of educational resources based on collaborative filtering
A clustering algorithm based on an estimated distribution model
EmoRile: a personalised emoji prediction scheme based on user profiling
Survey of various methods for diagnostic signatures for cutaneous melanoma from genetic and imaging data
Brain tumour detection using self-adaptive learning PSO-based feature selection algorithm in MRI images
A unified workflow strategy for analysing large-scale TripAdvisor reviews with BOW model
An efficient feature extraction for biometric authentication
A method for evaluating the quality of college curriculum teaching reform based on data mining
Fuzzy cluster and validity indices in a socio-economic context
Optimising mobile base station placement using an enhanced Multi-Objective Genetic Algorithm
Fuzzy-MCS algorithm-based ontology generation for e-assessment
Characteristic of enterprise collaboration system and its implementation issues in business management
Forecasting with information extracted from the residuals of ARIMA in financial time series using continuous wavelet transform
Health data warehouses: reviewing advanced solutions for medical knowledge discovery
A novel dynamic approach to identifying suspicious customers in money transactions
Content-based personalised recommendation in virtual shopping environment
DAMIAN - data accrual machine intelligence with augmented networks for contextually coherent creative story generation
Multi-modal feature fusion for object detection using neighbourhood component analysis and bounding box regression
A performance analysis of enterprise human resource management from the perspective of social relationship network analysis
A secured best data centre selection in cloud computing using encryption technique
Design and application of a new massive open online training platform
Identifying influential nodes in large scale social networks using global and local structural information
Secure hash algorithm-based multiple tenant user security over green cloud environment
A marketable quality and profitability model for corporations considering sellers and buyers market
Discovery of inconsistent generalised coherent rules
Trajectory tracking of the robot end effector for the minimally invasive surgeries
Application of association rules mining to Named Entity Recognition and co-reference resolution for the Indonesian language
An efficient intrusion detection system for identification from suspicious URLs using data mining algorithms
Extended RBAC-based design and implementation for a secure data warehouse
General crime from the data mining point of view. A systematic literature review
An efficient weighted nearest neighbour classifier using vertical data representation
Study on complement of knowledge map of educational resources based on semi-supervised learning
A networked virtual environment for teaching handwritten characters through shared haptisation
Online analytical mining association rules using Chi-square test
The integration of a newly defined N -gram concept and vector space model for documents ranking
A semi-supervised clustering-based classification model for classifying imbalanced data streams in the presence of scarcely labelled data
Knowledge discovery in databases: an application to market segmentation in retail supermarkets
An improved functional link neural network learning using artificial bee colony optimisation for time series prediction
A combined PFCM and recurrent neural network-based intrusion detection system for cloud environment
An efficient method for motif and anomaly detection in time series based on clustering
Rapid detection of abnormal sales data on e-commerce platforms under the digital transformation of enterprises
A locality centred recommendation system combining CNM clustering technique with fuzzy preference tree-based ranking algorithm
Data mining from 1994 to 2004: an application-orientated review
The identification of 'fuzzy profiles' through the c-means clustering
Detection method of students' online learning state based on posture recognition
An optimal cluster-based approach for Subgroup Analysis using Information Complexity Criterion
Anomaly detection method for geological hazard time-series data based on multi-source data fusion
Internal quality measures for clustering in metric spaces
Mining trailer reviews for predicting ratings and box office success of upcoming movies
Evaluation of similarity searching methods for music data in P2P networks
Personalised push of ideological and political network teaching resources based on user characteristics
Disease prediction and knowledge extraction in banana crop cultivation using decision tree classifiers
UPFC damping controller design using multi-objective evolutionary algorithms
Data mining of unstructured big data in cloud computing
Mining models for predicting product quality properties of petroleum products
Privacy preservation for associative classification: an approximation algorithm
Rule-based database intrusion detection using coactive artificial neuro-fuzzy inference system and genetic algorithm
Examining the impact of business intelligence related practices on organisational performance in Oman
High quality management of higher education based on data mining
Link prediction in multilayer networks
Personalised recommendation method of online ideological and political education resources in colleges and universities based on spectral clustering
Web server log data pre-processing for mining zakat user profile using association rules
Building acoustic model for phoneme recognition using PSO-DBN
Privacy preserving-aware over big data in clouds using GSA and MapReduce framework
Leveraging the fog-based machine learning model for ECG-based coronary disease prediction
Rough set theory-based feature selection and FGA-NN classifier for medical data classification
A spatial econometrics analysis for road accidents in Lisbon
A hybrid risk-aware design method for spatial datacubes handling spatial vague data: implementation and validation
SoLoMo cities: socio-spatial city formation detection and evolution tracking approach
Information retrieval on documents methodology based on entropy filtering methodologies
A novel approach to retrieve unlabelled images
An optimised soft computing-based approach for multimedia data mining
Integrating MOOC online and offline English teaching resources based on convolutional neural network
Investigating different fitness criteria for swarm-based clustering
Efficient text document clustering with new similarity measures
Mining convergent and divergent sequences in multidimensional data
Online teaching data distribution method based on learning behaviour big data mining
Association-rule knowledge discovery by using a fuzzy mining approach
A method for mining comment text data on e-commerce platforms for enterprise digital transformation
Improved search strategies and extensions to k-medoids-based clustering algorithms
Industry classifications and identification of important industry groups
When to choose an ensemble classifier model for data mining
Reformulated query-based document retrieval using optimised kernel fuzzy clustering algorithm
Decision tree classifier for university single rate tuition fee system
Weighted-based multiple classifier and F-GSO algorithm for email spam classification
Hybrid wavelet model construction using orthogonal forward selection with boosting search
Associative classification model for forecasting stock market trends
Mining maritime schedules for analysing global shipping networks
Retail price time series imputation
Augmenting keyword-based patent prior art search using weighted classification code hierarchies
An effective abstract text summarisation using shark smell optimised bidirectional encoder representations from transformer
Data clustering using Lévy flight and local memory bees algorithm
Robust framework for recommending restructuring of websites by analysing web usage and web structure data
Research on anomaly recognition of the English MOOC teaching platform based on deep feature learning
Machine learning models for predicting customer churn: a case study in a software-as-a-service inventory management company
Measuring stability of feature ranking techniques: a noise-based approach
Optimal decision tree fuzzy rule-based classifier for heart disease prediction using improved cuckoo search algorithm
An evaluation of four reordering algorithms to reduce the computational cost of the Jacobi-preconditioned conjugate gradient method using high-precision arithmetic
WebUser: mining unexpected web usage
Heart disease patient risk classification based on neutrosophic sets
Learning from socio-economic characteristics of IP geo-locations for cybercrime prediction
Using geographically weighted regression for housing market segmentation
Oriented spatial box plot, a new pattern for points clusters
Using the data mining technique to predict successful customer engagement of marketing campaigns in social media
Privacy preservation of the user data and properly balancing between privacy and utility
Vote prediction by iterative domain knowledge and attribute elimination