Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: K-modestream algorithm for clustering categorical data streams
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
Mining Data Streams : A Review
Analysing the agglomerative hierarchical Clustering Algorithm for Categorical Attributes
ensemble learning for data stream analysis : a survey .
Self-Adaptive Anytime Stream Clustering
Classifying Data Streams with Skewed Class Distributions and Concept Drifts
Advances in data stream mining
Rough K-modes Clustering Algorithm Based on Entropy
Dynamic Clustering of Streaming Short Documents
Distributed stream clustering using micro-clusters on Apache Storm
A cluster centers initialization method for clustering categorical data
Techniques of Cluster Algorithms in Data Mining
Novelty detection algorithm for data streams multi-class problems
Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining
Categorical Data Clustering using Cosine based similarity for Enhancing the Accuracy of Squeezer Algorithm
CLOPE: a fast and effective clustering algorithm for transactional data
Data Streams: Models and Algorithms
Stream data clustering based on grid density and attraction
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering
Symbolic clustering using a new dissimilarity measure
Recent trends of workflow scheduling algorithms in cloud computing under Qos constraints
Participation in School-Based Extracurricular Activities and Adolescent Adjustment
The serializability of concurrent database updates
A Perception-Driven Approach to Supervised Dimensionality Reduction for Visualization