Béchet et al., 2015 - Google Patents
Sequence mining under multiple constraintsBéchet et al., 2015
View PDF- Document ID
- 4218394405078312353
- Author
- Béchet N
- Cellier P
- Charnois T
- Crémilleux B
- Publication year
- Publication venue
- Proceedings of the 30th annual ACM symposium on applied computing
External Links
Snippet
In this paper, we address the problem of mining sequential patterns under multiple constraints. Unlike classical algorithms, our approach handles various types of constraints which are not only numeric but also symbolic and syntactic. These multiple constraints …
- 238000005065 mining 0 title abstract description 13
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30477—Query execution
- G06F17/30507—Applying rules; deductive queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30613—Indexing
- G06F17/30619—Indexing indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30289—Database design, administration or maintenance
- G06F17/30303—Improving data quality; Data cleansing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2785—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2795—Thesaurus; Synonyms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30964—Querying
- G06F17/30979—Query processing
- G06F17/30985—Query processing by using string matching techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
- Y10S707/99936—Pattern matching access
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | An empirical study of TextRank for keyword extraction | |
| Béchet et al. | Sequence mining under multiple constraints | |
| Marcus et al. | Identification of high-level concept clones in source code | |
| Peruma et al. | An empirical investigation of how and why developers rename identifiers | |
| Davril et al. | Feature model extraction from large collections of informal product descriptions | |
| Litvak et al. | A new approach to improving multilingual summarization using a genetic algorithm | |
| US20050203924A1 (en) | System and methods for analytic research and literate reporting of authoritative document collections | |
| CN114817298B (en) | Field-level data lineage extraction method, device, equipment and storage medium | |
| Peruma et al. | Contextualizing rename decisions using refactorings and commit messages | |
| JP2001511564A (en) | Apparatus and method for information retrieval system using natural language processing of search results to increase overall accuracy | |
| Mao et al. | Automatic keywords extraction based on co-occurrence and semantic relationships between words | |
| Béchet et al. | Discovering linguistic patterns using sequence mining | |
| Arnold et al. | Extracting semantic concept relations from wikipedia | |
| Anam et al. | Adapting a knowledge-based schema matching system for ontology mapping | |
| Béchet et al. | Sequential pattern mining to discover relations between genes and rare diseases | |
| Yeasmin et al. | Study of abstractive text summarization techniques | |
| Métivier et al. | A constraint programming approach for mining sequential patterns in a sequence database | |
| Moradi | Frequent itemsets as meaningful events in graphs for summarizing biomedical texts | |
| Siefkes et al. | An overview and classification of adaptive approaches to information extraction | |
| Kemmar et al. | Mining relevant sequence patterns with cp-based framework | |
| Fudholi et al. | Ontology-based information extraction for knowledge enrichment and validation | |
| JP3553543B2 (en) | Related word automatic extraction device, multiple important word extraction program, and upper and lower hierarchy relation extraction program for important words | |
| Wang et al. | An Empirical Study on Source Code Feature Extraction in Preprocessing of IR-Based Requirements Traceability | |
| Figueroa et al. | Collaborative ranking between supervised and unsupervised approaches for keyphrase extraction | |
| Hassan et al. | Learning subgraph patterns from text for extracting disease–symptom relationships |