Nothing Special   »   [go: up one dir, main page]

Kapoor et al., 2020 - Google Patents

Multidimensional crime dataset analysis

Kapoor et al., 2020

Document ID
12036888548000823921
Author
Kapoor P
Singh P
Publication year
Publication venue
Intelligent Systems Design and Applications: 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) held in Vellore, India, December 6-8, 2018, Volume 1

External Links

Snippet

Data analytics (DA) is defined as the process of scrutinizing different data sets to draw out the outcomes about the information they contain with the help of specialized functional systems and software. There are different areas where data analytics applications have …
Continue reading at link.springer.com (other versions)

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
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587—Details of specialised database models
    • G06F17/30595—Relational databases
    • G06F17/30598—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • 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
    • 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
    • G06F17/30994—Browsing or visualization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/02—Computer systems based on specific mathematical models using fuzzy logic
    • G06N7/023—Learning or tuning the parameters of a fuzzy system

Similar Documents

Publication Publication Date Title
Safat et al. Empirical analysis for crime prediction and forecasting using machine learning and deep learning techniques
Buczak et al. Fuzzy association rule mining for community crime pattern discovery
Attaallah et al. Analyzing the Big Data Security Through a Unified Decision-Making Approach.
Deshpande et al. Data mining system and applications: A review
Rawat et al. Techniques for predicting dark web events focused on the delivery of illicit products and ordered crime
Rajapaksha et al. LoRMIkA: Local rule-based model interpretability with k-optimal associations
Zhong et al. [Retracted] Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm
Solano et al. High-Level fusion for intelligence applications using Recombinant Cognition Synthesis
Mahmoud et al. Ae-lstm: Autoencoder with lstm-based intrusion detection in iot
Saidi et al. Approaches to analyze cyber terrorist communities: Survey and challenges
Yamini A violent crime analysis using fuzzy c-means clustering approach
Llaha Crime analysis and prediction using machine learning
Kapoor et al. Crime data set analysis using formal concept analysis (fca): A survey
Mohindru et al. A review of anomaly detection techniques using computer vision
Mojarad et al. A hybrid context-aware framework to detect abnormal human daily living behavior
Nohuddin et al. A case study in knowledge acquisition for logistic cargo distribution data mining framework
Guo et al. A survey on uncertainty reasoning and quantification for decision making: Belief theory meets deep learning
Gajevic et al. Artificial neural network tuning by improved sine cosine algorithm for healthcare 4.0
Solomon et al. A deep learning framework for predicting burglaries based on multiple contextual factors
Zeeshan et al. Complex fuzzy sets with applications in decision-making
Wang et al. Data mining and knowledge discovery
Kapoor et al. Multidimensional crime dataset analysis
Barry et al. Exploring the use of association rules in random forest for predicting heart disease
Tundis et al. Limits in the data for detecting criminals on social media
Patil et al. Crime prediction application using artificial intelligence