Kai Ming Ting
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Kai Ming Tingcomputer-science Degrees
Computer Science
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Machine Learning
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Computer Science
Kai Ming Ting's Degrees
- PhD Computer Science Monash University
- Bachelors Computer Science Monash University
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(Suggest an Edit or Addition)Kai Ming Ting'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
- Isolation Forest (2008) (2826)
- Isolation-Based Anomaly Detection (2012) (1073)
- Issues in Stacked Generalization (2011) (676)
- An Instance-Weighting Method to Induce Cost-Sensitive Trees (2002) (458)
- A Survey of Audio-Based Music Classification and Annotation (2011) (423)
- Confusion Matrix (2010) (338)
- A Comparative Study of Cost-Sensitive Boosting Algorithms (2000) (291)
- Precision and Recall (2017) (265)
- Stacking Bagged and Dagged Models (1997) (250)
- Evolutionary Computing (1997) (245)
- Fast Anomaly Detection for Streaming Data (2011) (187)
- Stacked generalization: when does it work? (1997) (168)
- z-SVM: An SVM for Improved Classification of Imbalanced Data (2006) (148)
- Inducing Cost-Sensitive Trees via Instance Weighting (1998) (105)
- Density-ratio based clustering for discovering clusters with varying densities (2016) (101)
- On Detecting Clustered Anomalies Using SCiForest (2010) (99)
- On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions (2005) (96)
- Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification (2011) (90)
- Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees (2016) (81)
- Spectrum of Variable-Random Trees (2008) (62)
- Isolation‐based anomaly detection using nearest‐neighbor ensembles (2018) (56)
- Feature-subspace aggregating: ensembles for stable and unstable learners (2011) (56)
- To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators (2007) (53)
- Mass estimation and its applications (2010) (51)
- A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement (2003) (51)
- Multi-label Learning with Emerging New Labels (2016) (50)
- Boosting Trees for Cost-Sensitive Classifications (1998) (48)
- Music classification via the bag-of-features approach (2011) (46)
- An Empirical Study of MetaCost Using Boosting Algorithms (2000) (46)
- Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble (2014) (46)
- Ensemble Selection for SuperParent-One-Dependence Estimators (2005) (46)
- Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure (2016) (46)
- Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees (1999) (45)
- Classifying under computational resource constraints: anytime classification using probabilistic estimators (2007) (42)
- Mass estimation (2012) (41)
- Maximizing Tree Diversity by Building Complete-Random Decision Trees (2005) (41)
- Improving Deep Forest by Confidence Screening (2018) (40)
- Improving iForest with Relative Mass (2014) (40)
- Boosting Cost-Sensitive Trees (1998) (40)
- Improving the Performance of Boosting for Naive Bayesian Classification (1999) (38)
- Discretization of Continuous-Valued Attributes and Instance-Based Learning (1994) (36)
- Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors (2016) (34)
- LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours (2015) (32)
- Model Combination in the Multiple-Data-Batches Scenario (1997) (30)
- Relevance feature mapping for content-based multimedia information retrieval (2012) (30)
- A general stochastic clustering method for automatic cluster discovery (2011) (29)
- Isolation Kernel and Its Effect on SVM (2018) (29)
- Data-dependent dissimilarity measure: an effective alternative to geometric distance measures (2017) (27)
- Cocktail Ensemble for Regression (2007) (24)
- Multi-dimensional Mass Estimation and Mass-based Clustering (2010) (24)
- Mp-Dissimilarity: A Data Dependent Dissimilarity Measure (2014) (24)
- Explanation (1953) (23)
- Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering (2019) (23)
- Multi-Label Learning with Emerging New Labels (2018) (21)
- Learning Naive Bayes Classifiers for Music Classification and Retrieval (2010) (21)
- Grouping points by shared subspaces for effective subspace clustering (2018) (19)
- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles (2006) (18)
- Half-space mass: a maximally robust and efficient data depth method (2015) (18)
- Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection (2020) (18)
- Reproducing the Results of Ant-based Clustering Without Using Ants (2006) (17)
- Continual Learning (2010) (16)
- On Feature Combination for Music Classification (2010) (16)
- ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets (2016) (16)
- New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning (2017) (16)
- Stacked Generalizations: When Does It Work? (1997) (16)
- Isolation Set-Kernel and Its Application to Multi-Instance Learning (2019) (15)
- Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning (2017) (15)
- Sponsored Search (2010) (14)
- Plan Recognition (2010) (14)
- The Characterisation of Predictive Accuracy and Decision Combination (1996) (13)
- Learning Sparse Kernel Classifiers for Multi-Instance Classification (2013) (13)
- A Distance Scaling Method to Improve Density-Based Clustering (2018) (13)
- Simplifying and improving ant-based clustering (2011) (13)
- Local contrast as an effective means to robust clustering against varying densities (2018) (12)
- A Study on the Effect of Class Distribution Using Cost-Sensitive Learning (2002) (12)
- Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning (1998) (12)
- Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes (2019) (11)
- A fuzzy neural network for data mining: dealing with the problem of small disjuncts (1999) (11)
- A new simple and effective measure for bag-of-word inter-document similarity measurement (2019) (11)
- DEMass: a new density estimator for big data (2013) (11)
- Density Estimation Based on Mass (2011) (11)
- Boosting Support Vector Machines Successfully (2009) (11)
- Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection (2016) (11)
- Cost-Sensitive Classification Using Decision Trees, Boosting and MetaCost (2002) (11)
- LiNearN: A new approach to nearest neighbour density estimator (2014) (11)
- Process-Based Modeling (2010) (10)
- Discretisation in Lazy Learning Algorithms (1997) (10)
- Decision Combination Based on the Characterisation of Predictive Accuracy (1997) (9)
- A new simple and efficient density estimator that enables fast systematic search (2019) (9)
- A new effective and efficient measure for outlying aspect mining (2020) (9)
- Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering (2007) (8)
- Beyond tf-idf and Cosine Distance in Documents Dissimilarity Measure (2015) (8)
- Spectral–Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest (2021) (8)
- Theory combination: an alternative to data combination (1996) (7)
- Optimizing Cepstral Features for Audio Classification (2013) (7)
- Sequential Data (2010) (7)
- Improving the Centered CUSUMS Statistic for Structural Break Detection in Time Series (2004) (7)
- Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms (2018) (7)
- Improving Deep Forest by Screening (2020) (7)
- Variable Randomness in Decision Tree Ensembles (2006) (7)
- Hierarchical clustering that takes advantage of both density-peak and density-connectivity (2018) (6)
- Isolation Graph Kernel (2021) (6)
- CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities (2021) (6)
- Issues in Classifier Evaluation using Optimal Cost Curves (2002) (6)
- A comparative study of data-dependent approaches without learning in measuring similarities of data objects (2020) (6)
- Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings (2008) (6)
- Sensitivity and Specificity (2017) (6)
- Efficient Serial and Parallel Implementations of the Cutting Angle Method (2003) (5)
- Stream Mining (2010) (5)
- Model-based clustering of sequential data (2006) (5)
- Learning Lazy Rules to Improve the Performance of Classifiers (2000) (5)
- Spam Detection (2010) (5)
- Cost-Sensitive Classification (2010) (5)
- Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (2019) (4)
- Reconstruction-based Anomaly Detection with Completely Random Forest (2021) (4)
- Which Outlier Detector Should I use? (2018) (4)
- Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections (2020) (4)
- MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation (2013) (4)
- Samuel's Checkers Player (2010) (4)
- Australian All Ordinaries Index: re-examine the utilities of the explanatory variables using three different measures (2002) (4)
- Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees (2004) (3)
- Neighbourhood Contrast: A Better Means to Detect Clusters Than Density (2018) (3)
- Model stability: a key factor in determining whether an algorithm produces an optimal model from a matching distribution (2003) (3)
- LOCAL MODELS—THE KEY TO BOOSTING STABLE LEARNERS SUCCESSFULLY (2013) (3)
- A non-time series approach to vehicle related time series problems (2012) (3)
- A Comparative Study of a Practical Stochastic Clustering Method with Traditional Methods (2010) (3)
- Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning (2020) (3)
- Relevance feature mapping for content-based image retrieval (2010) (3)
- An M-of-N Rule Induction Algorithm and its Application to DNA Domain (1994) (3)
- Cooperative Coevolution (2010) (3)
- Building Sparse Support Vector Machines for Multi-Instance Classification (2011) (3)
- Streaming Hierarchical Clustering Based on Point-Set Kernel (2022) (3)
- Content-Based Filtering (2010) (3)
- Stacked Generalization (2010) (2)
- On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification (2011) (2)
- Evaluation Data (2010) (2)
- Towards using a Single Uniform Metric in Instance-Based Learning (1995) (2)
- A New Distributional Treatment for Time Series and An Anomaly Detection Investigation (2022) (2)
- Clustering Ensembles (2010) (2)
- Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining (2008) (2)
- Error Rate (2010) (2)
- Classification Learning (2009) (2)
- Improving time series prediction by data selection (2003) (2)
- Isolation kernel: the X factor in efficient and effective large scale online kernel learning (2019) (2)
- Learning from Batched Data: Model Combination Versus Data Combination (1999) (2)
- Adaptive Anomaly Detection using Isolation Forest (2009) (2)
- Positive Semidefinite (2010) (2)
- Breaking the curse of dimensionality with Isolation Kernel (2021) (2)
- Complex Adaptive System (2010) (1)
- Competitive Coevolution (2010) (1)
- Solution Concept (2010) (1)
- Stratified Cross Validation (2010) (1)
- Cross-Language Question Answering (2010) (1)
- Positive Definite (2010) (1)
- A Generic Ensemble Approach to Estimate Multidimensional Likelihood in Bayesian Classifier Learning (2016) (1)
- Spike-Timing-Dependent Plasticity (2010) (1)
- Précision (1956) (1)
- PAC Identification (2010) (1)
- Correlation-Based Learning (2010) (1)
- Predicting stock indices n-days ahead: a comparison of techniques using Australian data (2001) (1)
- Context-Sensitive Learning (2010) (1)
- Issues of grid-cluster retrievals in swarm-based clustering (2008) (1)
- Shannon's Information (2010) (1)
- Audio-video based Segmentation and Classification using SVM and AANN (2020) (1)
- Efficient nonlinear classification via low-rank regularised least squares (2012) (1)
- Passive Learning (2010) (1)
- The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms (2020) (1)
- Click-Through Rate (CTR) (2010) (1)
- Isolation Kernel Density Estimation (2021) (1)
- Predicate Invention (2010) (1)
- FaSS: Ensembles for Stable Learners (2009) (1)
- Piecewise Constant Models (2010) (0)
- Pruning Set (2010) (0)
- Detecting Change Intervals with Isolation Distributional Kernel (2022) (0)
- Anomaly Detection via Neighbourhood Contrast (2020) (0)
- Non-Metric Similarity Measures (2015) (0)
- Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems (2016) (0)
- A principled distributional approach to trajectory similarity measurement (2023) (0)
- Data Dependent Dissimilarity Measures (NII Shonan Meeting 2018-13) (2018) (0)
- Content Match (2010) (0)
- Analysis of runtime performance using heap data structure for the cutting angle global optimisation algorithm (2003) (0)
- Examining Dissimilarity S aling in Ant ColonyApproa hes to Data ClusteringSwee (2007) (0)
- Final Report for AOARD Grant FA 2386-13-1-4043 “ Non-Metric Similarity Measures ” Date : March 26 , 2015 Name of Principal Investigator (2015) (0)
- Programming from Traces (2010) (0)
- Postsynaptic Neuron (2010) (0)
- Efficient serial and parallel implementations of the cutting angle global optimisation technique (2001) (0)
- Clause Learning (2010) (0)
- Piecewise Linear Models (2010) (0)
- Structural Credit Assignment (2010) (0)
- Candidate-Elimination Algorithm (2010) (0)
- Evolutionary Feature Synthesis (2010) (0)
- Commercial Email Filtering (2010) (0)
- Symmetrization Lemma (2010) (0)
- Coevolutionary Computation (2010) (0)
- Evaluation Set (2010) (0)
- Semantic Mapping (2010) (0)
- Consensus Clustering (2020) (0)
- Explanation-Based Generalization for Planning (2010) (0)
- Content-Based Recommending (2010) (0)
- String Kernel (2010) (0)
- Evolution of Robot Control (2010) (0)
- Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification (2011) (0)
- Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems (2016) (0)
- Committee Machines (2010) (0)
- Example-Based Programming (2010) (0)
- Co-reference Resolution (2010) (0)
- Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding With Isolation Kernel (Extended Abstract) (cid:3) (2022) (0)
- Ehipasiko: A Content-based Image Indexing and Retrieval System (2006) (0)
- Clustering of Nonnumerical Data (2010) (0)
- Sequential Inductive Transfer (2010) (0)
- Algorithms that Defy the Gravity of Learning Curve (2017) (0)
- Cost-to-Go Function Approximation (2010) (0)
- Program Synthesis From Examples (2010) (0)
- Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008) (2010) (0)
- Continuous Attribute (2010) (0)
- Competitive Learning (2010) (0)
- Cross-Language Document Categorization (2010) (0)
- Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel (2019) (0)
- DEMass: a new density estimator for big data (2013) (0)
- Statistical Physics Of Learning (2010) (0)
- Data-dependent dissimilarity measure: an effective alternative to geometric distance measures (2017) (0)
- Starting Clause (2010) (0)
- Solving Semantic Ambiguity (2010) (0)
- PAC-MDP Learning (2010) (0)
- Squared Error Loss (2010) (0)
- Elman Network (2010) (0)
- Positive Predictive Value (2010) (0)
- Contrast Set Mining (2010) (0)
- Local contrast as an effective means to robust clustering against varying densities (2018) (0)
- Cluster Ensembles (2010) (0)
- Experience-Based Reasoning (2010) (0)
- Kernel-based clustering via Isolation Distributional Kernel (2023) (0)
- Cluster Optimization (2010) (0)
- Parallel Corpus (2010) (0)
- Experience Curve (2010) (0)
- Half-space mass: a maximally robust and efficient data depth method (2015) (0)
- Cost Function (2010) (0)
- Data Dependent Dissimilarity Measures (2018) (0)
- Clustering with Side Information (2010) (0)
- Comparable Corpus (2010) (0)
- Have we overestimated the value of ROC analysis under varying class distributions (2003) (0)
- Simple Bayes (2010) (0)
- Cluster Editing (2010) (0)
- Clustering based on Point-Set Kernel (2020) (0)
- Edge Prediction (2010) (0)
- Emerging Patterns (2010) (0)
- Title : Adaptive Anomaly Detection using Isolation Forest (2010) (0)
- Covering Algorithm (2010) (0)
- String Matching Algorithm (2010) (0)
- Second Generation of Mass Estimation (2013) (0)
- Clustering with Advice (2010) (0)
- Subgraph Centralization: A Necessary Step for Graph Anomaly Detection (2023) (0)
- A comparative study of data-dependent approaches without learning in measuring similarities of data objects (2019) (0)
- Compositional Coevolution (2010) (0)
- Evolution of Agent Behaviors (2010) (0)
- Speedup Learning for Planning (2010) (0)
- Symbolic Regression (2010) (0)
- Shattering Coefficient (2010) (0)
- Evolutionary Grouping (2010) (0)
- CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets (2018) (0)
- Estimation of Density Level Sets (2010) (0)
- Closest Point (2010) (0)
- Error Curve (2010) (0)
- Structured Data Clustering (2010) (0)
- Embodied Evolutionary Learning (2010) (0)
- Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms (2018) (0)
- Clustering gene expression data using ant-based heuristics (2011) (0)
- Computational Discovery of Quantitative Laws (2010) (0)
- Predicate Calculus (2010) (0)
- Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors (2016) (0)
- Mass estimation (2012) (0)
- Certainty Equivalence Principle (2010) (0)
- A simple efficient density estimator that enables fast systematic search (2017) (0)
- Cannot-Link Constraint (2010) (0)
- Categorical Attribute (2010) (0)
- Squared Error (2010) (0)
- Simple supervised dissimilarity measure: Bolstering iForest-induced similarity with class information without learning (2020) (0)
- City Block Distance (2010) (0)
- Evolutionary Constructive Induction (2010) (0)
- Connection Strength (2010) (0)
- Error Squared (2010) (0)
- Efficient nonlinear classification via low-rank regularised least squares (2012) (0)
- Learning Sparse Kernel Classifiers in the Primal (2012) (0)
- Isolation Kernel Estimators (2022) (0)
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What Schools Are Affiliated With Kai Ming Ting?
Kai Ming Ting is affiliated with the following schools:
