Search Results - computer program mining data processing.

Table of Contents: “...Data mining and automated learning -- Clustering -- Classification -- Association rules and fuzzy rules -- Learning systems -- Factor and correlation analysis -- Temporal data mining -- Financial engineering -- Intelligent agents -- Internet applications -- Multimedia processing -- Video processing -- Image processing -- Genetic algorithms and genetic programming in agent-based computational finance -- Data analysis and financial modeling....”
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Subjects: “...Business intelligence Data processing....”
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Table of Contents: “...Text and Sentiment Analysis -- Ensemble Learning Model for Medical Text Classification -- Fuzzy Based Text Quality Assessment for Sentiment Analysis -- Prompt-Learning for Semi-Supervised Text Classification -- Label-Dependent Hypergraph Neural Network for Enhanced Multi-label Text Classification -- Fast Text Comparison Based on ElasticSearch and Dynamic Programming -- Question Answering and Information Retrieval -- User Context-aware Attention Networks for Answer Selection -- Towards Robust Token Embeddings for Extractive Question Answering -- Math Information Retrieval with Contrastive Learning of Formula Embeddings -- Social Media and News Analysis -- Influence Embedding from Incomplete Observations in Sina Weibo -- Dissemination of Fact-checked News does not Combat False News: Empirical Analysis -- Highly Applicable Linear Event Detection Algorithm on Social Media with Graph Stream -- Leveraging Social Networks for Mergers and Acquisitions Forecasting -- Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning -- Security and Privacy -- Bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks -- ATDG: An Automatic Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism -- Blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicle Edge Computing -- Priv-S: Privacy-Sensitive Data Identification in Online Social Networks -- TLEF: Two-Layer Evolutionary Framework for t-closeness Anonymization -- A Dual-Layer Privacy-Preserving Federated Learning Framework -- A Privacy-Preserving Evolutionary Computation Framework for Feature Selection -- Local Difference-based Federated Learning Against Preference Profiling Attacks -- Proximity-based MAENS: A Computational Intelligence Method for Privacy-Preserving Multiple Traveling Salesmen Problem -- Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction -- ICAD: An Intelligent Framework for Real-Time Criminal Analytics and Detection -- Web Technologies -- Web Page Segmentation: A DOM-structural Cohesion Analysis Approach -- Learning to Select the Relevant History Turns in Conversational Question Answering -- A Methodological Approach for Data-intensive Web Application Design on top of Data Lakes -- ESPRESSO: A Framework for Empowering Search on Decentralized Web -- Primary Building Blocks for Web Automation -- A Web Service Oriented Integration Solution for Capital Facilities Information Handover -- Deep Neural Network based approach for IoT service QoS prediction -- Graph Embeddings and Link Predictions -- Path-KGE: Preference-aware Knowledge Graph Embedding with Path Semantics for Link Prediction -- Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes -- Link Prediction for Opportunistic Networks Based on Hybrid Similarity Metrics and E-LSTM-D Models -- FastAGEDs: Fast Approximate Graph Entity Dependency Discovery -- Topological Network Field Preservation For Heterogeneous Graph Embedding -- Predictive Analysis and Machine Learning -- Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions -- TSEGformer:Time-Space dimension dependency transformer for use in multivariate time series prediction -- Fraudulent Jobs Prediction Using Natural Language Processing and Deep Learning Sequential Models -- Prediction of Student Performance with Machine Learning Algorithms Based on ensemble learning methods -- Recommendation Systems -- Counterfactual Explanations for Sequential Recommendation with Temporal Dependencies -- Incorporating Social-aware User Preference for Video Recommendation -- Noise-augmented Contrastive Learning for Sequential Recommendation -- Self-Attention Convolutional Neural Network for Sequential Recommendation -- Informative Anchor-enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation -- Leveraging Sequential Episode Mining for Session-based News Recommendation -- Improving Conversational Recommender Systems via Knowledge enhanced Temporal Embedding -- Natural Language Processing (NLP) and Databases -- Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples -- GAN-IE: Enhancing Information Extraction Through Generative Adversarial Networks with Limited Annotated Data -- An Integrated Interactive Framework for Natural Language to SQL Translation -- Task-driven Neural Natural Language Interface to Database -- Identification and Generation of Actions using Pre-trained Language Models -- GADESQL: Graph Attention Diffusion Enhanced Text-To-SQL with Single and Multi-hop Relations -- An Ensemble-based Approach for Generative Language Model Attribution -- Knowledge-grounded Dialogue Generation with Contrastive Knowledge Selection -- Data Analysis and Optimization -- A data-driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation -- Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index -- Solving Injection Molding Production Cost Problem Based on Combined Group Role Assignment with Costs -- CREAM: Named Entity Recognition with Concise Query and Region-Aware Minimization -- Anomaly and Threat Detection -- An Effective Dynamic Cost-Sensitive Weighting based Anomaly Multi-Classification Model for Imbalanced Multivariate Time Series -- Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System -- Study on Credit Risk Control By Variational Inference -- Streaming Data -- An Adaptive Drilling Sampling Method and Evaluation Model for Large Scale Streaming Data -- Unsupervised Representation Learning with Semantic of Streaming Time Series -- Miscellaneous -- Capo: Calibrating Device-to-Device Positioning With a Collaborative Network -- The Impact on Employability by COVID-19 Pandemic - AI case studies -- A semi-automatic framework towards building Electricity Grid Infrastructure Management ontology: A case study and retrospective -- Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique -- Meta-Learning for Estimating Multiple Treatment Effects with Imbalance -- SML: Semantic Machine Learning Model Ontology -- Explainability and Scalability in AI -- A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability -- Scaling Machine Learning with an efficient Hybrid Distributed Framework -- Domain Adaptation with Sample Relation Reinforcement....”
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Table of Contents: “...1.2.7 Informatics and Economics1.3 Information Theory; 1.3.1 Quantities of Information; 1.3.1.1 Units for Measuring Computer Information; 1.3.1.2 Quantities of Information in Information Theory; 1.3.2 Coding Theory; 1.3.3 Semiotics; 1.3.3.1 Computational Semiotics; 2 Algorithmics; 2.1 The Science of Algorithms; 2.1.1 Algorithm Design; 2.1.2 Algorithmic Complexity Theory; 2.1.3 Algorithm Analysis; 2.2 Data Science (Datalogy); 2.2.1 Raw Data; 2.2.2 Data Structures; 2.2.3 Data Analysis (Data Analytics); 2.2.4 Data Mining; 3 Computer Programming; 3.1 Computer Programming Languages....”
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Table of Contents: “...Data Preprocessing and finding optimal value of K for KNN Model -- Prediction of Cardiac Diseases using Machine Learning Algorithms -- A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News -- Evaluation of Machine Learning Algorithms for Electroencephalography based Epileptic Seizure State Recognition -- Lung Disease Detection and Classification from Chest X-Ray Images using Adaptive Segmentation and Deep Learning -- A Quantitative analysis for Breast Cancer prediction using Artificial Neural Network and Support Vector Machine -- Tracking Misleading News of COVID-19 within Social Media -- Energy aware Multi-chain PEGASIS in WSN: A Q-Learning Approach -- TEXTLYTIC: Automatic Project Report Summarization using NLP Techniques -- Management of Digital Evidence for Cybercrime Investigation- A Review -- Realtime Human Pose Detection and Recognition using Mediapipe -- Charge the Missing Data with Synthesized Data by using SN-Sync technique -- Discovery of Popular Languages from GitHub Repository: A Data Mining -- Performance Analysis of Flower Pollination Algorithms using Statistical Methods: An Overview -- Counterfactual causal analysis on structured data -- Crime Analysis Using Machine Learning -- Multi-Model Neural Style Transfer for Audio and Image (MMNST) -- Feature Extraction from Radiographic Skin Cancer Data using LRCS -- Shared Filtering-Based Advice Of Online Group Voting -- Mining Challenger From Bulk Preprocessing Datasets -- Prioritized Load Balancer for minimization of VM and Data Transfer Cost in Cloud Computing -- Smart Underground Drainage Management System using Internet of Things -- Iot Based System For Health Monitoring Of Arrhythmia Patients Using Machine Learning Classification Techniques -- EHR-Sec: A Blockchain based Security System for Electronic Health -- End to End Speaker Verication For Short Utterances -- A Comprehensive Analysis on Multi-class Imbalanced Bigdata Classification -- Efficient Recommender System for Kid's Hobby using Machine Learning -- Programming Associative Memories -- Novel Associative Memories based on Spherical Seperability -- An Intelligent Fog-IoT based Disease Diagnosis Healthcare System -- Pre-processing of linguistic divergence in English- Marathi language pair in Machine Translation -- Deep Learning Approach for Image Based Plant Species Classification -- Inventory, Storage and Routing Optimization with Homogeneous Fleet in the Secondary Distribution Network Using a Hybrid VRP, Clustering and MIP Approach -- Evaluation and Comparison of various static and dynamic load balancing strategies used in cloud computing -- Dielectric Resonator Antenna with Hollow Cylinder for Wide Bandwidth -- Recent Techniques in Image Retrieval: A Comprehensive Survey -- Medical Image Fusion Based On Energy Attribute and PA-PCNN in NSST Domain -- Electrical Shift and Linear Trend artifacts removal from single channel EEG using SWT-GSTV model -- Forecasting Hourly Electrical Energy output of a Power plant using parametric models -- Cataract detection using Deep Convolutional Neural Networks -- Comparative Analysis of Body Biasing Techniques for Digital Integrated Circuits -- Optical Mark Recognition with Facial Recognition System -- Evaluation of Antenna Control System for Tracking Remote Sensing Satellites -- Face Recognition using Cascading of HOG and LBP Feature Extraction -- Design of wideband patch Antenna using metamaterial and Dielectric resonator Structures -- Call Admission Control for Interactive Multimedia Applications in 4G Networks -- AI-based Pro-Mode in Smartphone Photography -- A ML-Based Model to Quantify Ambient Air Pollutant -- Multimodal biometric system using Undecimated Dual-Tree Complex Wavelet Transform -- Design of Modified Dual - Coupled Linear Congruential Generator Method Architecture for Pseudorandom Bit Generation -- Performance Analysis of PAPR and BER in FBMC-OQAM With Low-complexity Using Modified Fast Convolution -- Sign Language Recognition using Convolution Neural Network -- Key Based Obfuscation of Digital Design for Hardware Security -- IOT based Card less Banking System with Fingerprint Authentication Using Raspberry Pi -- Low Complexity and High speed Montgomery Multiplication based on FFT -- An Efficient Group Key Establishment for Secure Communication to multicast groups for WSN-IoT nodes -- Design of sub-volt High Impedance Wide Bandwidth Current Mirror for High Performance Analog Circuit -- Low Voltage Low Power Design of Operational Transconductance Amplifier -- Automatic detection of Cerebral microbleed using Deep bounding box based watershed segmentation from MR images -- New Efficient Tunable Window Function for Designing FIR Digital Filter -- Brain Tumour Detection Using Convolutional Neural Networks in MRI Images -- Design of circular patch antenna with square slot for wearable Ultra-wide band Applications -- Design of Area Efficient and Low Power 4-Bit Baugh Wooley Multiplier Using Full-Swing GDI technique -- VLSI IMPLEMENTATION OF THE LOW POWER NEUROMORPHIC SPIKING NEURAL NETWORK WITH MACHINE LEARNING APPROACH -- IOT based Energy Saving Recommendations by Classification of Energy Consumption Using Machine Learning Techniques....”
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Subjects: “...Engineering-Data processing....”
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