[go: up one dir, main page]

Uemura et al., 2008 - Google Patents

Unsupervised spam detection by document complexity estimation

Uemura et al., 2008

View PDF
Document ID
11862483610358179474
Author
Uemura T
Ikeda D
Arimura H
Publication year
Publication venue
International Conference on Discovery Science

External Links

Snippet

In this paper, we study a content-based spam detection for a specific type of spams, called blog and bulletin board spams. We develop an efficient unsupervised algorithm DCE that detects spam documents from a mixture of spam and non-spam documents using an entropy …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30613Indexing
    • G06F17/30619Indexing indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2705Parsing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/30707Clustering or classification into predefined classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/21Text processing
    • G06F17/22Manipulating or registering by use of codes, e.g. in sequence of text characters
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30943Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30946Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Fournier‐Viger et al. A survey of pattern mining in dynamic graphs
US8386574B2 (en) Multi-modality classification for one-class classification in social networks
US8725666B2 (en) Information extraction system
CN103874994B (en) Method and apparatus for automatically summarizing the content of an electronic document
Hajishirzi et al. Adaptive near-duplicate detection via similarity learning
US9268749B2 (en) Incremental computation of repeats
Liu et al. Who is. com? Learning to parse WHOIS records
US8612364B2 (en) Method for categorizing linked documents by co-trained label expansion
Kantchelian et al. Robust detection of comment spam using entropy rate
Pérez-Díaz et al. Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification
US20040111438A1 (en) Method and apparatus for populating a predefined concept hierarchy or other hierarchical set of classified data items by minimizing system entrophy
Somesha et al. Classification of phishing email using word embedding and machine learning techniques
Tsai et al. D2S: document-to-sentence framework for novelty detection
Choudhury et al. How difficult is it to develop a perfect spell-checker? A cross-linguistic analysis through complex network approach
Pandya et al. Mated: metadata-assisted twitter event detection system
Uemura et al. Unsupervised spam detection by document complexity estimation
Giannella An improved algorithm for unsupervised decomposition of a multi‐author document
Kumar et al. Sentiment analysis using social and topic context for suicide prediction
Burnside et al. One Day in Twitter: Topic Detection Via Joint Complexity.
Prilepok et al. Spam detection using data compression and signatures
Narisawa et al. Detecting blog spams using the vocabulary size of all substrings in their copies
Santos et al. Spam filtering through anomaly detection
de Vel et al. E-mail authorship attribution for computer forensics
Rallapalli et al. Sense: Semantically enhanced node sequence embedding
Chae et al. Incremental feature selection for efficient classification of dynamic graph bags