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Category: RESEARCH PAPERS

MAKER-TAKER FEE, LIQUIDITY COMPETITION, AND HIGH FREQUENCY TRADING

This paper analyzes how a maker-taker fee reduction affects market competition, liquidity, and high frequency trading. The purposes are threefold: 1) whether reducing the exchange maker-taker fee attracts liquidity from off-exchange venues; 2) holding the net exchange fee relatively constant, whether the components of the maker-taker fee change matter; and 3) how HFT responds to

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DATA MINING RESEARCHERS USE INNOVATIVE TECHNIQUES TO BUILD ROBUST CLASSIFIER

Researcher discovers that a combination of adversarial learning and sparse modelling techniques improves the performance of an email/spam classifier. Fei Wang CMCRC PhD candidate U. of Sydney Prof Sanjay Chawla CMCRC Research Leader U. of Sydney   Classifiers are widely used in many computer-based applications to the bene- fit of virtually all computer users. An

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UNDERSTANDING CHRONIC DISEASE COMORBIDITIES FROM BASELINE NETWORKS – KNOWLEDGE DISCOVERY UTILISING ADMINISTRATIVE HEALTHCARE DATA

Hospitals routinely collect admitted patients’ data for administrative purposes and for reporting to the government and health insurers. These heterogeneous and mostly untapped data contain rich semantic information about patients’ health conditions in the form of standard disease codes. These traces of clinical information can be aggregated over patients to understand how their health progresses

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COMPUTER SCIENCE RESEARCH PRODUCES NEW TYPE OF REGRESSION ALGORITHM FOR STOCK PICKING

Study looks at combining text data and financial quantitative data to produce a model for predicting a stocks daily return. Tony Zhao Zhao is a PhD student at Macquarie University. He has worked on a wide range of topics including embedded systems, digital signal processing, machine learning, large-scale data processing and natural language processing but

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PERSONER: PERSIAN NAMED-ENTITY RECOGNITION

Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a

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PIONEERING VISUALIZATION FRAMEWORK MAKES THE PICTURE CLEARER

Researchers produce a new framework, StreamEB, which could revolutionise the visual analysis of data and graph streams. Dr Quan Nguyen CMCRC PhD graduate U. of Sydney  Prof Peter Eades CMCRC Research Leader U. of Sydney   High velocity data streams such as trading data have become ubiquitous since the 1990s and graph streaming is becoming

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BIDIRECTIONAL LSTM-CRF FOR CLINICAL CONCEPT EXTRACTION

Extraction of concepts present in patient clinical records is an essential step in clinical research. The 2010 i2b2/VA Workshop on Natural Language Processing Challenges for clinical records presented concept extraction (CE) task, with aim to identify concepts (such as treatments, tests, problems) and classify them into predefined categories. State-of-the-art CE approaches heavily rely on hand

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COMPUTER SCIENTISTS PUSH BOUNDARIES TO CREATE AUTOMATED NEWS SOFTWARE

The development of a sophisticated and workable Named Entity Linking (NEL) system will enable the creation of new software allowing users to find vast amounts of news information about a named entity at the touch of a button. Will Radford CMCRC PhD candidate U. of Sydney A/Professor James Curran CMCRC Research Associate U. of Sydney

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AN INVESTIGATION OF RECURRENT NEURAL ARCHITECTURES FOR DRUG NAME RECOGNITION

Drug name recognition (DNR) is an essential step in the Pharmacovigilance (PV) pipeline. DNR aims to find drug name mentions in unstructured biomedical texts and classify them into predefined categories. State-of-the-art DNR approaches heavily rely on hand-crafted features and domain-specific resources which are difficult to collect and tune. For this reason, this paper investigates the

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MULTI-FUND DATA ANALYTICS TARGETS ENHANCED VALUE-FOR-MONEY IN HEALTHCARE SERVICES

Governments as well as health and accident compensation insurers are grappling to improve health outcomes while keeping spiralling costs under control. These seemingly irreconcilable goals require a careful balance of policy to help stem the tide of ever increasing costs in the health industry. Dr Uma Srinivasan CMC Insurance Solutions CMC Lead Scientist Keywords: Health insurance,

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