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Geoff Webb
Geoffrey I. Webb (also known as Geoff Webb) is Professor of Computer Science at Monash University, founder and director of Data Mining software development and consultancy company G. I. Webb and Associates, and former editor-in-chief of the journal '' Data Mining and Knowledge Discovery''. Before joining Monash University he was on the faculty at Griffith University from 1986 to 1988 and then at Deakin University from 1988 to 2002. Webb has published more than 280 scientific papers in the fields of machine learning, data science, data mining, data analytics, time series analytics, big data, bioinformatics and user modeling. He is an editor of the Encyclopedia of Machine Learning. Webb created the Averaged One-Dependence Estimators (AODE) machine learning algorithm and its generalization Averaged N-Dependence Estimators (ANDE) and has worked extensively on statistically sound association rule learning. His early work included advocating the use of machine learning to cr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Monash University
Monash University () is a public research university based in Melbourne, Victoria, Australia. Named for prominent World War I general Sir John Monash, it was founded in 1958 and is the second oldest university in the state. The university has a number of campuses, four of which are in Victoria ( Clayton, Caulfield, Peninsula, and Parkville), and one in Malaysia. Monash also has a research and teaching centre in Prato, Italy, a graduate research school in Mumbai, India and graduate schools in Suzhou, China and Tangerang, Indonesia. Monash University courses are also delivered at other locations, including South Africa. Monash is home to major research facilities, including the Monash Law School, the Australian Synchrotron, the Monash Science Technology Research and Innovation Precinct (STRIP), the Australian Stem Cell Centre, Victorian College of Pharmacy, and 100 research centres and 17 co-operative research centres. In 2019, its total revenue was over $2.72 billion (AUD ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Averaged One-Dependence Estimators
Averaged one-dependence estimators (AODE) is a probabilistic classification learning technique. It was developed to address the attribute-independence problem of the popular naive Bayes classifier. It frequently develops substantially more accurate classifiers than naive Bayes at the cost of a modest increase in the amount of computation.Webb, G. I., J. Boughton, and Z. Wang (2005)"Not So Naive Bayes: Aggregating One-Dependence Estimators" ''Machine Learning'', 58(1), 5–24. The AODE classifier AODE seeks to estimate the probability of each class ''y'' given a specified set of features ''x''1, ... ''x''n, P(''y'' , ''x''1, ... ''x''n). To do so it uses the formula :\hat(y\mid x_1, \ldots x_n)=\frac where \hat(\cdot) denotes an estimate of P(\cdot), F(\cdot) is the frequency with which the argument appears in the sample data and ''m'' is a user specified minimum frequency with which a term must appear in order to be used in the outer summation. In recent practice ''m'' is u ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Monash University Faculty
Monash may refer to: __NOTOC__ Places Australia Australian Capital Territory * Monash, Australian Capital Territory, a suburb of Canberra South Australia * Monash, South Australia, a town Victoria * City of Monash, a municipality * Division of Monash, an Australian Electoral Division * Monash College, Melbourne * Monash Freeway, a road linking Melbourne to Gippsland * Monash Medical Centre, a hospital and research centre in Melbourne * Monash Province, an electorate of the Victorian Legislative Council until 2006 * Monash Special Developmental School, a school * Monash University, a public research university in Melbourne Israel * Kfar Monash, an agricultural settlement in central Israel People * John Monash (1865–1931), Australian World War I general * Paul Monash (1917–2003), American producer and screenwriter Other uses * .monash This list of Internet top-level domains (TLD) contains top-level domains, which are those domains in the DNS root zone of the Domain Nam ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Living People
Related categories * :Year of birth missing (living people) / :Year of birth unknown * :Date of birth missing (living people) / :Date of birth unknown * :Place of birth missing (living people) / :Place of birth unknown * :Year of death missing / :Year of death unknown * :Date of death missing / :Date of death unknown * :Place of death missing / :Place of death unknown * :Missing middle or first names See also * :Dead people * :Template:L, which generates this category or death years, and birth year and sort keys. : {{DEFAULTSORT:Living people 21st-century people People by status ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Australian Computer Scientists
Australian(s) may refer to: Australia * Australia, a country * Australians, citizens of the Commonwealth of Australia ** European Australians ** Anglo-Celtic Australians, Australians descended principally from British colonists ** Aboriginal Australians, indigenous peoples of Australia as identified and defined within Australian law * Australia (continent) ** Indigenous Australians * Australian English, the dialect of the English language spoken in Australia * Australian Aboriginal languages * ''The Australian'', a newspaper * Australiana, things of Australian origins Other uses * Australian (horse), a racehorse * Australian, British Columbia, an unincorporated community in Canada See also * The Australian (other) * Australia (other) Australia is a country in the Southern Hemisphere. Australia may also refer to: Places * Name of Australia relates the history of the term, as applied to various places. Oceania *Australia (continent), or Sahul, the landmasses ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SIGKDD
SIGKDD, representing the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference. Conference history The KDD Conference grew from KDD (Knowledge Discovery and Data Mining) workshops at AAAI conferences, which were started by Gregory I. Piatetsky-Shapiro in 1989, 1991, and 1993, and Usama Fayyad in 1994. Conference papers of each Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining are published through ACM. KDD is widely considered the most influential forum for knowledge discovery and data mining research. The KDD conference has been held each year since 1995, and SIGKDD became an official ACM Special Interest Group in 1998. Past conference locations are listed on the KDD conference web site. The annual ACM SIGKDD conference is recognized as a flagship venue in the field. Based on statistics provided by independent researcher Lexing Xie in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Graphical Model
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a Graph (discrete mathematics), graph expresses the conditional dependence structure between random variables. They are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning. Types of graphical models Generally, probabilistic graphical models use a graph-based representation as the foundation for encoding a distribution over a multi-dimensional space and a graph that is a compact or Factor graph, factorized representation of a set of independences that hold in the specific distribution. Two branches of graphical representations of distributions are commonly used, namely, Bayesian networks and Markov random fields. Both families encompass the properties of factorization and independences, but they differ in the set of independences they can encode and the factorization of the distribution that they induce ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Concept Drift
In predictive analytics and machine learning, concept drift means that the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways. This causes problems because the predictions become less accurate as time passes. The term ''concept'' refers to the quantity to be predicted. More generally, it can also refer to other phenomena of interest besides the target concept, such as an input, but, in the context of concept drift, the term commonly refers to the target variable. Examples In a fraud detection application the target concept may be a binary attribute fraudulent with values "yes" or "no" that indicates whether a given transaction is fraudulent. Or, in a weather prediction application, there may be several target concepts such as temperature, pressure, and humidity. The behavior of the customers in an online shop may change over time. For example, if weekly merchandise sales are to be predicted, and a predicti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Associative Classifier
An associative classifier (AC) is a kind of supervised learning model that uses association rules to assign a target value. The term associative classification was coined by Bing Liu et al., in which the authors defined a model made of rules "whose right-hand side are restricted to the classification class attribute". Model The model generated by an AC and used to label new records consists of association rules Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness.P ..., where the consequent corresponds to the class label. As such, they can also be seen as a list of "if-then" clauses: if the record matches some criteria (expressed in the left side of the rule, also called antecedent), it is then labeled accordingly to the class on the right side of the rule (or consequent). Most ACs read ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Association Rule Learning
Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness.Piatetsky-Shapiro, Gregory (1991), ''Discovery, analysis, and presentation of strong rules'', in Piatetsky-Shapiro, Gregory; and Frawley, William J.; eds., ''Knowledge Discovery in Databases'', AAAI/MIT Press, Cambridge, MA. In any given transaction with a variety of items, association rules are meant to discover the rules that determine how or why certain items are connected. Based on the concept of strong rules, Rakesh Agrawal, Tomasz Imieliński and Arun Swami introduced association rules for discovering regularities between products in large-scale transaction data recorded by point-of-sale (POS) systems in supermarkets. For example, the rule \ \Rightarrow \ found in the sales data of a supermarket would indicate that if a customer buys ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bioinformatics
Bioinformatics () is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, chemistry, physics, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for '' in silico'' analyses of biological queries using computational and statistical techniques. Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). Often, such identification is made with the aim to better understand the genetic basis of disease, unique adaptations, desirable properties (e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
