02026nam 2200409Ia 450 99639413410331620200818231211.0(CKB)4940000000115434(EEBO)2240904472(UnM)99898865e(UnM)99898865(EXLCZ)99494000000011543419981103d1625 uy |engurbn||||a|bb|Gerards prayers: or, A daily exercise of piety[electronic resource] Diuided into foure parts. Wherein are contained certaine formes of heauenly prayers. 1 Of confession of sinnes. 2 Of thanksgiving for benefits. 3 Of petitions for our selues. 4 Of supplications for others. Written originally in the Latine tounge, by Iohn Gerard Dr of Diuinitie, and superintendant of Heldburg. And translated into English by R. Winterton Mr of Arts, for the benefit of the English readerLondon printed for R. Iackson, and are to be sold at his shop ouer against the Conduit in Fleetstreet1625[24], 175, [5]A translation of: Gerhard, Johann Exercitium pietatis quotidianum quadripartitum.The words "1 Of Confession ... Supplications for others." on title page are gathered by a left brace.Caption title on p. 1: A daily exercise of peity. The first part. Of confession of sinnes.Last digit in date defective and can be misread as 1623--STC.Reproduction of original in the Cambridge University Library, Cambridge, England.eebo-0021Devotional exercisesEarly works to 1800PrayersEarly works to 1800Devotional exercisesPrayersGerhard Johann1582-1637.889049Winterton Ralph1600-1636.1002172Cu-RivESCu-RivESWaOLNBOOK996394134103316Gerards prayers: or, A daily exercise of piety2392561UNISA05758nam 2200457 450 99641830420331620210312142437.03-030-65390-010.1007/978-3-030-65390-3(CKB)4100000011704493(DE-He213)978-3-030-65390-3(MiAaPQ)EBC6451360(PPN)253252865(EXLCZ)99410000001170449320210312d2021 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvanced data mining and applications 16th international conference, ADMA 2020 Foshan, China, November 12-14, 2020, proceedings /Xiaochun Yang [and three others] (editors)1st ed. 2020.Cham, Switzerland :Springer,[2021]©20211 online resource (XV, 670 p. 241 illus., 165 illus. in color.) Lecture Notes in Artificial Intelligence ;124473-030-65389-7 Machine Learning -- Subspace-Weighted Consensus Clustering for High-Dimensional Data -- NOV-RSI: A Novel Optimization Algorithm for Mining Rare Significance Itemsets -- MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points -- Discovering High Utility Itemsets Using Set-Based Particle Swarm Optimization -- SS-AOE: Subspace based classification framework for avoiding over-confident errors -- Inuence Maximization based Active Learning in Noisy Setting -- Text Mining -- DGRL: Text Classification with Deep Graph Residual Learning -- Densely Connected Bidirectional LSTM With Max-pooling of CNN Network for Text Classification -- A Context-aware Computing Method of Sentence Similarity Based on Frame Semantics -- Learning the Concept Embeddings of Ontology -- ATextCNN Model: A New Multi-Classification Method for Police Situation -- Hierarchical and Pairwise Document Embedding for Plagiarism Detection -- Graph Mining -- Evolutionary strategy for graph embedding -- D2NE: Deep Dynamic Network Embedding -- Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts -- Tuser3: A profile matching based algorithm across three heterogeneous social networks -- Encrypted Traffic Classification using Graph Convolutional Networks -- Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing -- Research of Medical Aided Diagnosis System Based on Temporal Knowledge Graph -- TOP-R Keyword-Aware Community Search -- Online Community Identification Over Heterogeneous Attributed Directed Graphs -- Predictive Analytics MPB: Multi-Peak Binarization for Pupil Detection -- Rice Leaf Diseases Recognition using Convolutional Neural Networks -- STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction -- Discriminative Features Generation for Mortality Prediction in ICU -- Pre-trained StyleGAN based data augmentation for small sample brain CT motion artifacts detection -- Motion Artifacts Detection from Computed Tomography Images -- Loners stand out. Identification of anomalous subsequences based on group performance -- Brain CT Image Augmentation based on PGGAN and FBP for Artifact Detection -- Recursive RNN based Shift Representation Learning for Dynamic User-Item Interaction Prediction -- Computational methods for predicting Autism Spectrum Disorder from gene expression data -- Recommender Systems -- Declarative User-Item Profiling Based Context-Aware Recommendation -- HisRec: Bridging Heterogeneous Information Spaces for Recommendation via Attentive Embedding -- A Neighbor-aware Group Recommendation Algorithm -- Cross Product And Attention Based Deep Neural Collaborative Filtering -- Privacy and Security -- Blockchain-based Privacy Preserving Trust Management Model in VANET -- SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization -- Query Processing -- Optimizing Scoring and Sorting Operations for Faster WAND Processing -- Query-Based Recommendation by HIN Embedding with PRE-LSTM -- Data Mining Applications -- Applications of Big Data in Tourism: A Survey -- High-quality Plane Wave Compounding using Deep Learning for Hand-held Ultrasound Devices -- IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information -- Personal Health Index based on Residential Health Examination -- Decision support system for acupuncture treatment of ischemic stroke -- Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media -- FabricGene: A higher-level feature representation of fabric patterns for nationality classification -- Low-Light Image Enhancement With Color Transfer Based On Local Statistical Feature -- Role-aware Enhanced Matching Network for Multi-Turn Response Selection in Customer Service Chatbots.This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020. The 35 full papers presented together with 14 short papers papers were carefully reviewed and selected from 96 submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender Systems; Privacy and Security; Query Processing; Data Mining Applications.Lecture Notes in Artificial Intelligence ;12447Data miningCongressesData mining006.3Yang XiaochunMiAaPQMiAaPQMiAaPQBOOK996418304203316Advanced Data Mining and Applications771989UNISA