Design by exmple: An application of Armstrong relations
Journal of Computer and System Sciences
The design of relational databases
The design of relational databases
On the complexity of inferring functional dependencies
Discrete Applied Mathematics - Special issue on combinatorial problems in databases
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Algorithms for inferring functional dependencies from relations
Data & Knowledge Engineering
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
First-order jk-clausal theories are PAC-learnable
Artificial Intelligence
Elements of machine learning
Identifying the Minimal Transversals of a Hypergraph and Related Problems
SIAM Journal on Computing
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Mining optimized association rules for numeric attributes
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A database perspective on knowledge discovery
Communications of the ACM
On the complexity of dualization of monotone disjunctive normal forms
Journal of Algorithms
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Data mining, hypergraph transversals, and machine learning (extended abstract)
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering roll-up dependencies
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Borders: An Efficient Algorithm for Association Generation in Dynamic Databases
Journal of Intelligent Information Systems
Mining functional dependencies from fuzzy relational databases
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
A condensed representation to find frequent patterns
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Molecular feature mining in HIV data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining long sequential patterns in a noisy environment
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Propositionalization approaches to relational data mining
Relational Data Mining
Searching for dependencies at multiple abstraction levels
ACM Transactions on Database Systems (TODS)
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Detecting Group Differences: Mining Contrast Sets
Data Mining and Knowledge Discovery
A KDD framework to support database audit
Information Technology and Management
Discovering interesting inclusion dependencies: application to logical database tuning
Information Systems - Databases: Creation, management and utilization
A lattice-based approach for I/O efficient association rule mining
Information Systems - Databases: Creation, management and utilization
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
Data Mining and Knowledge Discovery
Pincer-Search: An Efficient Algorithm for Discovering the Maximum Frequent Set
IEEE Transactions on Knowledge and Data Engineering
Finding Patterns in Three-Dimensional Graphs: Algorithms and Applications to Scientific Data Mining
IEEE Transactions on Knowledge and Data Engineering
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Efficient Discovery of Functional Dependencies and Armstrong Relations
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Efficient Algorithms for Mining Inclusion Dependencies
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Discovering Frequent Closed Itemsets for Association Rules
ICDT '99 Proceedings of the 7th International Conference on Database Theory
FUN: An Efficient Algorithm for Mining Functional and Embedded Dependencies
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Bioinformatics Adventures in Database Research
ICDT '03 Proceedings of the 9th International Conference on Database Theory
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Approximation of Frequency Queris by Means of Free-Sets
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Using Condensed Representations for Interactive Association Rule Mining
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Semantic Compression and Pattern Extraction with Fascicles
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Extract Frequent Pattern from Simple Graph Data
WAIM '02 Proceedings of the Third International Conference on Advances in Web-Age Information Management
Data Mining as Constraint Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Mining Frequent Binary Expressions
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Computing Full and Iceberg Datacubes Using Partitions
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Frequent Closures as a Concise Representation for Binary Data Mining
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Bounding Negative Information in Frequent Sets Algorithms
DS '01 Proceedings of the 4th International Conference on Discovery Science
Relational Association Rules: Getting WARMeR
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
A Logical Database Mining Query Language
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
Demand-Driven Construction of Structural Features in ILP
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
On Monotone Data Mining Languages
DBPL '01 Revised Papers from the 8th International Workshop on Database Programming Languages
Fast Algorithms for Mining Emerging Patterns
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
A perspective on inductive databases
ACM SIGKDD Explorations Newsletter
Discovering all most specific sentences
ACM Transactions on Database Systems (TODS)
On Maximal Frequent and Minimal Infrequent Sets in Binary Matrices
Annals of Mathematics and Artificial Intelligence
Using transposition for pattern discovery from microarray data
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Off to new shores: conceptual knowledge discovery and processing
International Journal of Human-Computer Studies
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
An Algebra for Inductive Query Evaluation
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Zigzag: a new algorithm for mining large inclusion dependencies in databases
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Optimization of a language for data mining
Proceedings of the 2003 ACM symposium on Applied computing
Extracting semantics from data cubes using cube transversals and closures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Scalability and efficiency in multi-relational data mining
ACM SIGKDD Explorations Newsletter
DBC: a condensed representation of frequent patterns for efficient mining
Information Systems
Inducing Multi-Level Association Rules from Multiple Relations
Machine Learning
Incremental Maintenance on the Border of the Space of Emerging Patterns
Data Mining and Knowledge Discovery
Interestingness of frequent itemsets using Bayesian networks as background knowledge
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Support envelopes: a technique for exploring the structure of association patterns
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Generating a Condensed Representation for Association Rules
Journal of Intelligent Information Systems
Mining tree queries in a graph
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Fast Algorithms for Frequent Itemset Mining Using FP-Trees
IEEE Transactions on Knowledge and Data Engineering
On the estimation of frequent itemsets for data streams: theory and experiments
Proceedings of the 14th ACM international conference on Information and knowledge management
A Thorough Experimental Study of Datasets for Frequent Itemsets
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A Border-Based Approach for Hiding Sensitive Frequent Itemsets
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Propositionalization-based relational subgroup discovery with RSD
Machine Learning
Temporal knowledge discovery with infrequent episodes
dg.o '04 Proceedings of the 2004 annual national conference on Digital government research
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
Looking for monotonicity properties of a similarity constraint on sequences
Proceedings of the 2006 ACM symposium on Applied computing
Spatial associative classification: propositional vs structural approach
Journal of Intelligent Information Systems
Mining evolving data streams for frequent patterns
Pattern Recognition
Semantic sampling of existing databases through informative Armstrong databases
Information Systems
Mining itemset utilities from transaction databases
Data & Knowledge Engineering - Special issue: ER 2003
Structural geography of the space of emerging patterns
Intelligent Data Analysis
Utilisation of administrative registers using scientific knowledge discovery
Intelligent Data Analysis
Discovery of spatial association rules in geo-referenced census data: A relational mining approach
Intelligent Data Analysis
Optimization of association rule mining queries
Intelligent Data Analysis
Discovering functional dependencies from similarity-based fuzzy relational databases
Intelligent Data Analysis
Discovery of multivalued dependencies from relations
Intelligent Data Analysis
A MaxMin approach for hiding frequent itemsets
Data & Knowledge Engineering
Unifying Framework for Rule Semantics: Application to Gene Expression Data
Fundamenta Informaticae - Special issue ISMIS'05
A Data Mining Formalization to Improve Hypergraph Minimal Transversal Computation
Fundamenta Informaticae
Building rules on top of ontologies for the semantic web with inductive logic programming
Theory and Practice of Logic Programming
Adequate condensed representations of patterns
Data Mining and Knowledge Discovery
Description and simulation of dynamic mobility networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Inductive Logic Programming
On the Missing Link Between Frequent Pattern Discovery and Concept Formation
Inductive Logic Programming
Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics
Computational Discovery of Scientific Knowledge
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Discovering Relational Emerging Patterns
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Discovering Knowledge from Local Patterns with Global Constraints
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Negative Generator Border for Effective Pattern Maintenance
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Emerging Pattern Based Classification in Relational Data Mining
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
A Grid-Based Multi-relational Approach to Process Mining
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Upper Borders for Emerging Cubes
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Minimum-Size Bases of Association Rules
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
An integrated, generic approach to pattern mining: data mining template library
Data Mining and Knowledge Discovery
Process spaceship: discovering and exploring process views from event logs in data spaces
Proceedings of the VLDB Endowment
A constraint-based querying system for exploratory pattern discovery
Information Systems
Scalable pattern mining with Bayesian networks as background knowledge
Data Mining and Knowledge Discovery
Unary and n-ary inclusion dependency discovery in relational databases
Journal of Intelligent Information Systems
A view selection algorithm with performance guarantee
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Emerging Cubes: Borders, size estimations and lossless reductions
Information Systems
Mining constraint-based patterns using automatic relaxation
Intelligent Data Analysis
Introducing Softness into Inductive Queries on String Databases
Proceedings of the 2007 conference on Databases and Information Systems IV: Selected Papers from the Seventh International Baltic Conference DB&IS'2006
Two Orthogonal Biases for Choosing the Intensions of Emerging Concepts in Ontology Refinement
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Towards a Scalable Query Rewriting Algorithm in Presence of Value Constraints
Journal on Data Semantics XII
Data & Knowledge Engineering
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Extracting Decision Correlation Rules
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Discovering Emerging Graph Patterns from Chemicals
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Novelty Detection from Evolving Complex Data Streams with Time Windows
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
The levelwise version space algorithm and its application to molecular fragment finding
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Local query mining in a probabilistic prolog
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
On the Complexity of Constraint-Based Theory Extraction
DS '09 Proceedings of the 12th International Conference on Discovery Science
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
DS '09 Proceedings of the 12th International Conference on Discovery Science
Approximate Frequent Itemset Discovery from Data Stream
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
A new classification of datasets for frequent itemsets
Journal of Intelligent Information Systems
K-anonymous association rule hiding
ASIACCS '10 Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
Efficiently maintaining structural associations of semistructured data
PCI'01 Proceedings of the 8th Panhellenic conference on Informatics
Computational aspects of data mining
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
Computational science and data mining
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Constrained colocation mining: application to soil erosion characterization
Proceedings of the 2010 ACM Symposium on Applied Computing
Complex objects ranking: a relational data mining approach
Proceedings of the 2010 ACM Symposium on Applied Computing
On interactive pattern mining from relational databases
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Mining correct properties in incomplete databases
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Efficient mining under rich constraints derived from various datasets
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Towards a general framework for data mining
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
iZi: a new toolkit for pattern mining problems
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Discovering emerging patterns for anomaly detection in network connection data
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
A framework for pattern-based global models
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Galois lattices and bases for MGK-valid association rules
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Probabilistic inductive logic programming
Probabilistic logic learning from haplotype data
Probabilistic inductive logic programming
Research on properties of level space in the level wise search algorithm
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Frequent subgraph mining in outerplanar graphs
Data Mining and Knowledge Discovery
The iZi project: easy prototyping of interesting pattern mining algorithms
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
Finding minimal rare itemsets and rare association rules
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Fast, effective molecular feature mining by local optimization
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
DS'10 Proceedings of the 13th international conference on Discovery science
Intelligent Data Analysis - Ubiquitous Knowledge Discovery
On Armstrong-compliant logical query languages
Proceedings of the 4th International Workshop on Logic in Databases
Krimp: mining itemsets that compress
Data Mining and Knowledge Discovery
Improving constrained pattern mining with first-fail-based heuristics
Data Mining and Knowledge Discovery
Associative classification rules hiding for privacy preservation
International Journal of Intelligent Information and Database Systems
A relational view of pattern discovery
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Event correlation for process discovery from web service interaction logs
The VLDB Journal — The International Journal on Very Large Data Bases
Inductive databases and constraint-based data mining
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Itemset mining: A constraint programming perspective
Artificial Intelligence
Towards programming languages for machine learning and data mining
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Rewriting fuzzy queries using imprecise views
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
A parallel algorithm for computing borders
Proceedings of the 20th ACM international conference on Information and knowledge management
Extracting and summarizing the frequent emerging graph patterns from a dataset of graphs
Journal of Intelligent Information Systems
A clustering-based visualization of colocation patterns
Proceedings of the 15th Symposium on International Database Engineering & Applications
Practice of inductive reasoning on the semantic web: a system for semantic web mining
PPSWR'06 Proceedings of the 4th international conference on Principles and Practice of Semantic Web Reasoning
An automata approach to pattern collections
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Condensed representation of EPs and patterns quantified by frequency-based measures
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Towards fault-tolerant formal concept analysis
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
A methodology for building semantic web mining systems
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Frequent pattern discovery without binarization: mining attribute profiles
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Local patterns: theory and practice of constraint-based relational subgroup discovery
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Heuristic strategies for the discovery of inclusion dependencies and other patterns
Journal on Data Semantics V
Statistical supports for frequent itemsets on data streams
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining the semantic web: a logic-based methodology
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Mining and filtering multi-level spatial association rules with ARES
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Towards ad-hoc rule semantics for gene expression data
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
An efficient framework for mining flexible constraints
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A relational query primitive for constraint-based pattern mining
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
To see the wood for the trees: mining frequent tree patterns
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
A survey on condensed representations for frequent sets
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Computation of mining queries: an algebraic approach
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Inductive queries on polynomial equations
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Relevancy in constraint-based subgroup discovery
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
PISA: automatic extraction of traffic signatures
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Mining frequent δ-free patterns in large databases
DS'05 Proceedings of the 8th international conference on Discovery Science
CLASSIC'CL: an integrated ILP system
DS'05 Proceedings of the 8th international conference on Discovery Science
Principles of inductive reasoning on the semantic web: a framework for learning in AL-log
PPSWR'05 Proceedings of the Third international conference on Principles and Practice of Semantic Web Reasoning
Private itemset support counting
ICICS'05 Proceedings of the 7th international conference on Information and Communications Security
A pattern-based approach to conceptual clustering in FOL
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Frequent pattern discovery from OWL DLP knowledge bases
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
WiFi miner: an online apriori-infrequent based wireless intrusion system
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
Combining CSP and constraint-based mining for pattern discovery
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
Towards discovery of frequent patterns in description logics with rules
RuleML'05 Proceedings of the First international conference on Rules and Rule Markup Languages for the Semantic Web
Finding all minimal infrequent multi-dimensional intervals
LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
Transaction databases, frequent itemsets, and their condensed representations
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Exploiting virtual patterns for automatically pruning the search space
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
An efficient mining algorithm for maximal weighted frequent patterns in transactional databases
Knowledge-Based Systems
New exact concise representation of rare correlated patterns: application to intrusion detection
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Unifying Framework for Rule Semantics: Application to Gene Expression Data
Fundamenta Informaticae - Special issue ISMIS'05
A Data Mining Formalization to Improve Hypergraph Minimal Transversal Computation
Fundamenta Informaticae
Several remarks on mining frequent trajectories in graphs
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Coupling knowledge-based and data-driven systems for named entity recognition
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Emerging cubes for trends analysis in OLAP databases
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Proceedings of the 21st ACM international conference on Information and knowledge management
Information Sciences: an International Journal
Mining contextual preference rules for building user profiles
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Constrained Cube Lattices for Multidimensional Database Mining
International Journal of Data Warehousing and Mining
AL-QuIn: An Onto-Relational Learning System for Semantic Web Mining
International Journal on Semantic Web & Information Systems
Deciding monotone duality and identifying frequent itemsets in quadratic logspace
Proceedings of the 32nd symposium on Principles of database systems
Discovering XSD keys from XML data
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
MiningZinc: a modeling language for constraint-based mining
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs
ACM Transactions on Knowledge Discovery from Data (TKDD)
An efficient method for mining frequent itemsets with double constraints
Engineering Applications of Artificial Intelligence
An automatic key discovery approach for data linking
Web Semantics: Science, Services and Agents on the World Wide Web
Para Miner: a generic pattern mining algorithm for multi-core architectures
Data Mining and Knowledge Discovery
Mining closed patterns in relational, graph and network data
Annals of Mathematics and Artificial Intelligence
20 years of pattern mining: a bibliometric survey
ACM SIGKDD Explorations Newsletter
A tour of machine learning: An AI perspective
AI Communications - ECAI 2012 Turing and Anniversary Track
Key roles of closed sets and minimal generators in concise representations of frequent patterns
Intelligent Data Analysis
| Hi-index | 0.00 |
One of the basic problems in knowledge discovery in databases (KDD)is the following: given a data set r, a class L of sentences for definingsubgroups of r, and a selection predicate, find all sentences of L deemedinteresting by the selection predicate. We analyze the simple levelwisealgorithm for finding all such descriptions. We give bounds for the numberof database accesses that the algorithm makes. For this, we introduce theconcept of the border of a theory, a notion that turns out to besurprisingly powerful in analyzing the algorithm. We also consider theverification problem of a KDD process: given r and a set of sentences S⊆ L determine whether S is exactly the set of interesting statementsabout r. We show strong connections between the verification problem and thehypergraph transversal problem. The verification problem arises in a naturalway when using sampling to speed up the pattern discovery step in KDD.