• Publications
  • Influence
SPADE: An Efficient Algorithm for Mining Frequent Sequences
TLDR
We present a new algorithm, called SPADE (SequentialPAtternDiscovery using Equivalence classes), for fast discovery of Sequential Patterns. Expand
Scalable Algorithms for Association Mining
TLDR
We present efficient algorithms for the discovery of frequent itemsets which forms the compute intensive phase of the task. Expand
New Algorithms for Fast Discovery of Association Rules
TLDR
In this paper we present new algorithms for fast association mining, which scan the database only once, addressing the open question whether all the rules can be efficiently extracted in a single database pass. Expand
CHARM: An Efficient Algorithm for Closed Itemset Mining
TLDR
We present CHARM, an efficient algorithm for mining all frequent closed itemsets, using an efficient hybrid search that skips many levels. Expand
Efficiently mining frequent trees in a forest
TLDR
We present TREEMINER, a novel algorithm to discover all frequent subtrees in a forest, using a new data structure called scope-list. Expand
Fast vertical mining using diffsets
TLDR
We present a novel vertical data representation called Diffset that only keeps track of differences in the tids of a candidate pattern from its generating frequent patterns. Expand
Link prediction using supervised learning
TLDR
Social network analysis has attracted much attention in recent years. Expand
Efficient algorithms for mining closed itemsets and their lattice structure
TLDR
The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets, yet it can be orders of magnitude smaller than the set of all frequent items. Expand
Efficiently mining frequent trees in a forest: algorithms and applications
  • Mohammed J. Zaki
  • Computer Science
  • IEEE Transactions on Knowledge and Data…
  • 1 August 2005
TLDR
We present TREEMINER, a novel algorithm to discover all frequent subtrees in a forest, using a new data structure called scope-list. Expand
Data Mining and Analysis: Fundamental Concepts and Algorithms
TLDR
The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. Expand
...
1
2
3
4
5
...