Martin Ester | Academic Influence

Martin Ester's AcademicInfluence.com Rankings

Martin Ester

Computer Science

#2064

World Rank

#2143

Historical Rank

Data Mining

#29

World Rank

#29

Historical Rank

Database

#771

World Rank

#809

Historical Rank

computer-science Degrees

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Computer Science

Martin Ester's Degrees

PhD Computer Science University of British Columbia
Masters Computer Science University of British Columbia
Bachelors Computer Science University of British Columbia

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Why Is Martin Ester Influential?

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According to Wikipedia, Martin Ester is a Canadian-German Full Professor of Computing Science at Simon Fraser University. His research focuses on researcher data mining and machine learning. Career After earning his MS.c., Ester worked for Swissair before earning a position at the University of Munich as an Assistant Professor in 1993. Three years later, in 1996, Ester, Hans-Peter Kriegel, Jörg Sander and Xiaowei Xu proposed a data clustering algorithm called "Density-based spatial clustering of applications with noise" . Their proposal won the 2014 KDD Test of Time Award for "outstanding papers from past KDD Conferences beyond the last decade that have had an important impact on the data mining research community."

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Martin Ester's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (1996) (20288)
PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes (2010) (1897)
A matrix factorization technique with trust propagation for recommendation in social networks (2010) (1456)
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications (1998) (1296)
Density-Based Clustering over an Evolving Data Stream with Noise (2006) (969)
TrustWalker: a random walk model for combining trust-based and item-based recommendation (2009) (895)
DBSCAN Revisited, Revisited (2017) (843)
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems (2016) (814)
PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis (2005) (732)
Frequent term-based text clustering (2002) (636)
Incremental Clustering for Mining in a Data Warehousing Environment (1998) (567)
Hierarchical Document Clustering using Frequent Itemsets (2003) (529)
Density-based Clustering (2018) (465)
PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria (2003) (424)
A distribution-based clustering algorithm for mining in large spatial databases (1998) (373)
Spatial Data Mining: A Database Approach (1997) (302)
Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces (2005) (282)
Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification (1995) (234)
Visual classification: an interactive approach to decision tree construction (1999) (213)
Opinion digger: an unsupervised opinion miner from unstructured product reviews (2010) (210)
ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews (2011) (203)
SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines (2017) (198)
Spatial topic modeling in online social media for location recommendation (2013) (190)
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support (2000) (187)
ANRL: Attributed Network Representation Learning via Deep Neural Networks (2018) (175)
Mining Cohesive Patterns from Graphs with Feature Vectors (2009) (174)
A Database Interface for Clustering in Large Spatial Databases (1995) (157)
Towards an effective cooperation of the user and the computer for classification (2000) (156)
MOLI: multi-omics late integration with deep neural networks for drug response prediction (2019) (148)
Algorithms for Characterization and Trend Detection in Spatial Databases (1998) (148)
On the design of LDA models for aspect-based opinion mining (2012) (142)
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering (2015) (138)
Social Recommendation with Strong and Weak Ties (2016) (132)
Using a trust network to improve top-N recommendation (2009) (127)
Towards multidimensional subspace skyline analysis (2006) (126)
Joint cluster analysis of attribute data and relationship data (2008) (117)
Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications (2003) (112)
Optimally discriminative subnetwork markers predict response to chemotherapy (2011) (109)
P3C: A Robust Projected Clustering Algorithm (2006) (106)
Hierarchical Graph Pooling with Structure Learning (2019) (99)
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web (2002) (93)
Algorithms and Applications for Spatial Data Mining (2001) (90)
The FLDA model for aspect-based opinion mining: addressing the cold start problem (2013) (87)
Frequent-subsequence-based prediction of outer membrane proteins (2003) (85)
Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach* (2003) (84)
Detecting Singleton Review Spammers Using Semantic Similarity (2015) (83)
Mining Thick Skylines over Large Databases (2004) (79)
ETF: extended tensor factorization model for personalizing prediction of review helpfulness (2012) (77)
Clustering for Mining in Large Spatial Databases (1998) (76)
Learning Personalized Preference of Strong and Weak Ties for Social Recommendation (2017) (76)
Robust projected clustering (2008) (72)
Community-Based Question Answering via Heterogeneous Social Network Learning (2016) (72)
Slider—maximum use of probability information for alignment of short sequence reads and SNP detection (2008) (69)
Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation (2013) (68)
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction (2018) (68)
Towards an Effective Cooperation of the Computer and the User for Classification (2000) (68)
Density-Connected Sets and their Application for Trend Detection in Spatial Databases (1997) (65)
Inferring cancer subnetwork markers using density-constrained biclustering (2010) (64)
Instance Selection Techniques for Memory-based Collaborative Filtering (2002) (62)
The Multi-Relational Skyline Operator (2007) (61)
Knowledge Discovery in Spatial Databases (1999) (61)
Hierarchical Document Clustering (2009) (59)
A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks (2011) (56)
Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks (2014) (55)
CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering (2016) (54)
Efficiently supporting multiple similarity queries for mining in metric databases (2000) (53)
The DC-tree: a fully dynamic index structure for data warehouses (2000) (53)
Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analyses. (2005) (52)
Semi-supervised Clustering in Attributed Heterogeneous Information Networks (2017) (50)
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction (2014) (50)
Accurate and Efficient Crawling for Relevant Websites (2004) (49)
Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters (2007) (48)
Efficient incremental constrained clustering (2007) (46)
Focused Web Crawling: A Generic Framework for Specifying the User Interest and for Adaptive Crawling Strategies (2001) (45)
Knowledge Discovery in Databases (2000) (45)
Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization (2016) (43)
Aspect-based opinion mining from product reviews (2012) (43)
AQA: Aspect-based Opinion Question Answering (2011) (43)
Modeling the Temporal Dynamics of Social Rating Networks Using Bidirectional Effects of Social Relations and Rating Patterns (2010) (43)
Constraint-driven clustering (2007) (39)
Discovering significant OPSM subspace clusters in massive gene expression data (2006) (37)
Feature weighting and instance selection for collaborative filtering (2001) (36)
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT (2020) (35)
Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases (2001) (35)
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions (2007) (35)
Review recommendation: personalized prediction of the quality of online reviews (2011) (34)
On Efficient Processing of Subspace Skyline Queries on High Dimensional Data (2007) (34)
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery (2009) (33)
Evaluating skylines in the presence of equijoins (2010) (33)
On Dominating Your Neighborhood Profitably (2007) (33)
Dense Graphlet Statistics of Protein Interaction and Random Networks (2008) (33)
FeedbackTrust: using feedback effects in trust-based recommendation systems (2009) (32)
Co-offending Network Mining (2011) (32)
CRIMETRACER: Activity space based crime location prediction (2014) (31)
Structural Analysis of User Choices for Mobile App Recommendation (2016) (30)
A Quantitative Similarity Measure for Maps (2006) (29)
A microeconomic data mining problem: customer-oriented catalog segmentation (2004) (28)
A multi-relational approach to spatial classification (2009) (27)
Selecting relevant instances for efficient and accurate collaborative filtering (2001) (27)
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation (2018) (27)
CrimeWalker: a recommendation model for suspect investigation (2011) (27)
AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics (2020) (27)
Incremental Generalization for Mining in a Data Warehousing Environment (1998) (26)
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach (2012) (26)
A generalized stochastic block model for recommendation in social rating networks (2011) (26)
Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems (2014) (26)
Which to View: Personalized Prioritization for Broadcast Emails (2016) (25)
Interactive Social Recommendation (2017) (24)
A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences (2004) (24)
Module Discovery by Exhaustive Search for Densely Connected, Co-Expressed Regions in Biomolecular Interaction Networks (2010) (24)
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks (2020) (23)
PRRE: Personalized Relation Ranking Embedding for Attributed Networks (2018) (23)
The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation (2016) (23)
Proceedings of the 14th ACM Conference on Recommender Systems (2014) (23)
Database Primitives for Spatial Data Mining (1999) (22)
A TOP-DOWN APPROACH FOR MINING MOST SPECIFIC FREQUENT PATTERNS IN BIOLOGICAL SEQUENCE DATA (2003) (22)
Social Recommendation with Missing Not at Random Data (2018) (21)
A Deep Bayesian Tensor-Based System for Video Recommendation (2018) (21)
Performance comparison of linear and non-linear feature selection methods for the analysis of large survey datasets (2019) (20)
Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks (2010) (20)
Density-Based Subspace Clustering in Heterogeneous Networks (2014) (20)
Spatio-Temporal Topic Models for Check-in Data (2015) (19)
Spatially embedded co-offence prediction using supervised learning (2014) (19)
The minimum consistent subset cover problem and its applications in data mining (2007) (19)
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description (2006) (18)
Graph-based pigment network detection in skin images (2010) (15)
RecSys challenge 2013 (2013) (15)
Learning the Strength of the Factors Influencing User Behavior in Online Social Networks (2012) (15)
Deep Genomic Signature for early metastasis prediction in prostate cancer (2018) (13)
User Features and Social Networks for Topic Modeling in Online Social Media (2012) (13)
Hierarchical Multi-View Graph Pooling With Structure Learning (2021) (12)
Data Confidentiality (2009) (11)
Clustering and knowledge discovery in spatial databases (1997) (11)
Microscopic and Macroscopic Spatio-Temporal Topic Models for Check-in Data (2017) (11)
Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models. (2021) (11)
Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy (2010) (11)
Multi-task based Sales Predictions for Online Promotions (2019) (11)
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions (2022) (11)
ROSC: Robust Spectral Clustering on Multi-scale Data (2018) (10)
Recommendation in social networks (2013) (10)
Efficiently Mining Regional Outliers in Spatial Data (2007) (10)
Cluster Description Formats, Problems and Algorithms (2006) (10)
Provider-Consumer Anomaly Detection for Healthcare Systems (2017) (10)
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (2021) (9)
Bayesian Biclustering for Patient Stratification (2016) (9)
Domain Generalization via Semi-supervised Meta Learning (2020) (9)
Efficient Processing of Ranked Queries with Sweeping Selection (2005) (9)
Deep Learning Modeling of Androgen Receptor Responses to Prostate Cancer Therapies (2020) (8)
Collaborative intra-tumor heterogeneity detection (2019) (8)
Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts (2007) (8)
Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning Models (2021) (8)
KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis (2009) (7)
DGE: Deep Generative Network Embedding Based on Commonality and Individuality (2020) (7)
Personalized crime location prediction (2016) (7)
Right of Inference: Nearest Rectangle Learning Revisited (2006) (7)
Join Bayes Nets: A new type of Bayes net for relational data (2008) (6)
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation (2020) (6)
Finding contexts of social influence in online social networks (2013) (6)
Uncovering the subtype-specific temporal order of cancer pathway dysregulation (2019) (6)
BDKANN – Biological Domain Knowledge-based Artificial Neural Network for drug response prediction (2019) (5)
Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks (2009) (5)
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs (2018) (5)
HUME: large‐scale detection of causal genetic factors of adverse drug reactions (2018) (5)
Joint User- and Event- Driven Stable Social Event Organization (2018) (5)
Device-Aware Rule Recommendation for the Internet of Things (2018) (4)
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks (2022) (4)
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data (2020) (4)
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining (2013) (4)
Supervised identification and linking of concept mentions to a domain-specific ontology (2010) (4)
Interpretable Drug Response Prediction using a Knowledge-based Neural Network (2021) (4)
Automation of CT-based haemorrhagic stroke assessment for improved clinical outcomes: study protocol and design (2018) (4)
Tissue-Specific Subcellular Localization Prediction Using Multi-Label Markov Random Fields (2019) (4)
ParKCa: Causal Inference with Partially Known Causes (2020) (4)
Topic Modeling in Online Social Media, User Features, and Social Networks for (2014) (3)
Direction-Aware User Recommendation Based on Asymmetric Network Embedding (2021) (3)
Identification Of Differentially Expressed Gene Modules In Heterogeneous Diseases. (2020) (3)
Assessing the Significance of Data Mining Results on Graphs with Feature Vectors (2012) (3)
Moderate-Intensity Physical Activity, Music and Art Activities Preserved Cognitive Health in Older Adults: An Argument for Social Prescribing Solution (2021) (2)
Perception-Based Classification (1999) (2)
Database Protection (2009) (2)
Causal Inference from Small High-dimensional Datasets (2022) (2)
Data Manipulation Language (2009) (2)
SUBSTRA: Supervised Bayesian Patient Stratification (2019) (2)
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification (2020) (2)
Identification of Differentially Expressed Gene Modules in Heterogeneous Diseases (2020) (2)
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion (2020) (2)
FVC: A Feature-Vector-Based Classification for XML Dissemination (2010) (2)
DENSE GRAPHLET STATISTICS OF PROTEIN INTERACTION NETWORKS AND RANDOM NETWORKS (2008) (2)
A Disc-based Approach to Data Summarization and Privacy Preservation (2006) (2)
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction (2021) (2)
Adversarial Inductive Transfer Learning with input and output space adaptation (2019) (1)
Data mining tasks and methods: spatial analysis (2002) (1)
Healthy memory aging - the benefits of regular daily activities increase with age. (2021) (1)
Association Rules in the Relational Calculus (2007) (1)
PRRE (2018) (1)
Aristotle: stratified causal discovery for omics data (2022) (1)
Multi-treatment Effect Estimation from Biomedical Data. (2021) (1)
Feature Based Classification of Protein Docking Sites: An Algorithm for Large Databases and Experimental Results (1996) (1)
Data mining for feature vector networks (2009) (1)
Knowledge Discovery in Spatial Databases (Abstract) (1999) (1)
Correction: Module Discovery by Exhaustive Search for Densely Connected, Co-Expressed Regions in Biomolecular Interaction Networks (2010) (1)
Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks (2022) (1)
Deep Learning Modelling of Androgen Receptor Responses to Prostate Cancer Therapies (2020) (1)
Document Identifier (2020) (1)
Integrity in a Knowledge Based Office Information System: Modeling with Extended SDM and Implementation with Prolog (1985) (1)
Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address) (2001) (0)
Clustering and Knowledge Discovery in (1997) (0)
Degrees of Consistency (2009) (0)
Topic Modeling in Online Social Media, User Features and Social Networks for (2018) (0)
A Data Mining Approach to XML Dissemination (2010) (0)
User Behavior in Online Social Networks, Influencing Factors (2014) (0)
ASONAM 2014 Organizing Committee (2014) (0)
Aristotle: stratified causal discovery for omics data (2022) (0)
- 1-Algorithms and Applications for Spatial Data Mining (2001) (0)
Clinical Phenotype Prediction From Single-cell RNA-seq Data using Attention-Based Neural Networks (2023) (0)
An Interactive Visualization Tool for Understanding Active Learning (2021) (0)
Decentralized Data Integration System (2009) (0)
Data Perturbation (2009) (0)
Welcome from the ASONAM 2014 program chairs (2014) (0)
Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular networks (2010) (0)
Crime Location Prediction (2014) (0)
Subgroup Discovery in Unstructured Data (2022) (0)
Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins (2017) (0)
Learning Class-Level Bayes Nets for Relational Data (2008) (0)
1 C 5 . 8 Spatial Analysis (1999) (0)
Session details: Research track 7: privacy-sensitive mining (2010) (0)
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction (2022) (0)
Activity monitoring using topic models (2016) (0)
Session details: Technical session: beyond ratings (2013) (0)
OPTICS on Sequential Data: Experiments and Test Results (2018) (0)
User Behavior in Online Social Networks, Influencing Factors. (2014) (0)
Knowledge based retrieval in an office (1986) (0)
Data Types for Moving Objects (2009) (0)
DESMOND 2.0: Identification of differentially expressed biclusters for unsupervised patient stratification (2022) (0)
Distance-Preserving Mapping (2009) (0)
Proteome Network Emulating Models (2012) (0)
Digital Surface Model (2009) (0)
Dirichlet Tessellation (2009) (0)
Data Tracking (2009) (0)
Data Errors (2022) (0)
M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation (2021) (0)
Data Cache (2009) (0)
Class-Level Bayes Nets for Relational Data (2009) (0)
An Active Approach for Model Interpretation (2019) (0)
Heidegger: Interpretable Temporal Causal Discovery (2020) (0)
Large-Scale Comparison of Publicly Available SAGE , cDNA Microarray , and Oligonucleotide Microarray Expression Data for Global Co-Expression Analyses (2004) (0)
User Behavior in Online Social Networks: Influencing Factors (2018) (0)

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