Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and co... more Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and consultants by examining technologies and applications of demonstrable value. The conference focused on profitable intelligent systems and technologies. AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference.
After reading this chapter you should be able to: use arrays when writing PHP scripts, especially... more After reading this chapter you should be able to: use arrays when writing PHP scripts, especially in conjunction with the Foreach statement use the various sort functions available in PHP and understand the differences between them distinguish between indexed arrays and associative arrays use the explode and implode functions to convert strings with internal separator characters, such as commas, into arrays and vice versa.
This chapter introduces the FP-growth algorithm for extracting frequent itemsets from a database ... more This chapter introduces the FP-growth algorithm for extracting frequent itemsets from a database of transactions. First the database is processed to produce a data structure called a FP-tree, then the tree is processed recursively by constructing a sequence of reduced trees known as conditional FP-trees, from which the frequent itemsets are extracted. The algorithm has the very desirable feature of requiring only two scans through the database.
Hypertext/text domains are characterized by several tens or hundreds of thousands of features. Th... more Hypertext/text domains are characterized by several tens or hundreds of thousands of features. This represents a challenge for supervised learning algorithms which have to learn accurate classifiers using a small set of available training examples. In this paper, a fuzzy semi-supervised support vector machines (FSS-SVM) algorithm is proposed. It tries to overcome the need for a large labelled training set. For this, it uses both labelled and unlabelled data for training. It also modulates the effect of the unlabelled data in the learning process. Empirical evaluations with two real-world hypertext datasets showed that, by additionally using unlabelled data, FSS-SVM requires less labelled training data than its supervised version, support vector machines, to achieve the same level of classification performance. Also, the incorporated fuzzy membership values of the unlabelled training patterns in the learning process have positively influenced the classification performance in compari...
International Journal of Man-Machine Studies, 1988
The concern here is with the solution of a specialized form of problem (closely concerned with th... more The concern here is with the solution of a specialized form of problem (closely concerned with the game of chess) by means of heuristic methods. Defined is an expert system, RETRO, whose domain of application is retrograde-analysis chess problems. This type of problem, chess logic problems as they are sometimes called, differs from the conventional type of chess problem in that it is concerned only with the past history of the game, and what may be deduced about it. Typically, a (human) solution proceeds by the solver asking himself a series of questions in the form of a Socratic dialogue until a solution emerges. RETRO makes use of a frame-like approach to determine the questions that must be asked to effect a solution. Although RETRO cannot solve any conceivable retrograde-analysis problem, the approach taken has been designed to be of general applicability.
Pocket Data Mining (PDM) is our new term describing collaborative mining of streaming data in mob... more Pocket Data Mining (PDM) is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data streams are now available for subscription on our smart mobile phones, the potential of using this data for decision making using data stream mining techniques has now been achievable owing to the increasing power of these handheld devices. Wireless communication among these devices using Bluetooth and WiFi technologies has opened the door wide for ...
Advances in Intelligent Data Analysis Reasoning about Data
A brief overview of the history of the development of decision tree induction algorithms is follo... more A brief overview of the history of the development of decision tree induction algorithms is followed by a review of techniques for dealing with missing attribute values in the operation of these methods. The technique of dynamic path generation is described in the context of tree-based classification methods. The waste of data which can result from casewise deletion of missing
2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791), 2000
Abstract-This paper describes the facilities available in Inducer, a public domain rule induction... more Abstract-This paper describes the facilities available in Inducer, a public domain rule induction workbench aimed at users who may not be computer scientists, who wish to analyze their own datasets using a range of data mining strategies or to conduct experiments with a given ...
... Artificial Intelligence and Knowledge Management 11 Hugo Cesar Hoeschl and Vania Bar cellos .... more ... Artificial Intelligence and Knowledge Management 11 Hugo Cesar Hoeschl and Vania Bar cellos ... Basis Functions Versus Geostatistics in Spatial 119 Interpolations Cristian Rusu, Virginia ... Multitree-Multiobjective Multicast Routing for Traffic 247 Engineering Joel Prieto, Benjamin ...
Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and co... more Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and consultants by examining technologies and applications of demonstrable value. The conference focused on profitable intelligent systems and technologies. AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference.
After reading this chapter you should be able to: use arrays when writing PHP scripts, especially... more After reading this chapter you should be able to: use arrays when writing PHP scripts, especially in conjunction with the Foreach statement use the various sort functions available in PHP and understand the differences between them distinguish between indexed arrays and associative arrays use the explode and implode functions to convert strings with internal separator characters, such as commas, into arrays and vice versa.
This chapter introduces the FP-growth algorithm for extracting frequent itemsets from a database ... more This chapter introduces the FP-growth algorithm for extracting frequent itemsets from a database of transactions. First the database is processed to produce a data structure called a FP-tree, then the tree is processed recursively by constructing a sequence of reduced trees known as conditional FP-trees, from which the frequent itemsets are extracted. The algorithm has the very desirable feature of requiring only two scans through the database.
Hypertext/text domains are characterized by several tens or hundreds of thousands of features. Th... more Hypertext/text domains are characterized by several tens or hundreds of thousands of features. This represents a challenge for supervised learning algorithms which have to learn accurate classifiers using a small set of available training examples. In this paper, a fuzzy semi-supervised support vector machines (FSS-SVM) algorithm is proposed. It tries to overcome the need for a large labelled training set. For this, it uses both labelled and unlabelled data for training. It also modulates the effect of the unlabelled data in the learning process. Empirical evaluations with two real-world hypertext datasets showed that, by additionally using unlabelled data, FSS-SVM requires less labelled training data than its supervised version, support vector machines, to achieve the same level of classification performance. Also, the incorporated fuzzy membership values of the unlabelled training patterns in the learning process have positively influenced the classification performance in compari...
International Journal of Man-Machine Studies, 1988
The concern here is with the solution of a specialized form of problem (closely concerned with th... more The concern here is with the solution of a specialized form of problem (closely concerned with the game of chess) by means of heuristic methods. Defined is an expert system, RETRO, whose domain of application is retrograde-analysis chess problems. This type of problem, chess logic problems as they are sometimes called, differs from the conventional type of chess problem in that it is concerned only with the past history of the game, and what may be deduced about it. Typically, a (human) solution proceeds by the solver asking himself a series of questions in the form of a Socratic dialogue until a solution emerges. RETRO makes use of a frame-like approach to determine the questions that must be asked to effect a solution. Although RETRO cannot solve any conceivable retrograde-analysis problem, the approach taken has been designed to be of general applicability.
Pocket Data Mining (PDM) is our new term describing collaborative mining of streaming data in mob... more Pocket Data Mining (PDM) is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data streams are now available for subscription on our smart mobile phones, the potential of using this data for decision making using data stream mining techniques has now been achievable owing to the increasing power of these handheld devices. Wireless communication among these devices using Bluetooth and WiFi technologies has opened the door wide for ...
Advances in Intelligent Data Analysis Reasoning about Data
A brief overview of the history of the development of decision tree induction algorithms is follo... more A brief overview of the history of the development of decision tree induction algorithms is followed by a review of techniques for dealing with missing attribute values in the operation of these methods. The technique of dynamic path generation is described in the context of tree-based classification methods. The waste of data which can result from casewise deletion of missing
2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791), 2000
Abstract-This paper describes the facilities available in Inducer, a public domain rule induction... more Abstract-This paper describes the facilities available in Inducer, a public domain rule induction workbench aimed at users who may not be computer scientists, who wish to analyze their own datasets using a range of data mining strategies or to conduct experiments with a given ...
... Artificial Intelligence and Knowledge Management 11 Hugo Cesar Hoeschl and Vania Bar cellos .... more ... Artificial Intelligence and Knowledge Management 11 Hugo Cesar Hoeschl and Vania Bar cellos ... Basis Functions Versus Geostatistics in Spatial 119 Interpolations Cristian Rusu, Virginia ... Multitree-Multiobjective Multicast Routing for Traffic 247 Engineering Joel Prieto, Benjamin ...
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