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AI 2011: Advances in Artificial Intelligence [[electronic resource] ] : 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011, Proceedings / / edited by Dianhui Wang, Mark Reynolds
| AI 2011: Advances in Artificial Intelligence [[electronic resource] ] : 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011, Proceedings / / edited by Dianhui Wang, Mark Reynolds |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XVII, 821 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Information storage and retrieval Data mining Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Information Storage and Retrieval Data Mining and Knowledge Discovery |
| Soggetto genere / forma |
Kongress2011.Perth (Westaustralien)
Conference papers and proceedings. |
| Soggetto non controllato | AI |
| ISBN | 3-642-25832-8 |
| Classificazione |
SS 4800
004 DAT 700f |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title page -- Preface -- Organization -- Table of Contents -- Session 1: Data Mining and Knowledge Discovery -- Guided Rule Discovery in XCS for High-Dimensional Classification Problems -- Introduction -- Background -- XCS Overview -- Related Work -- Model -- Experiments -- Data Sets -- Parameters -- Results -- Conclusions -- References -- Motif-Based Method for Initialization the K-Means Clustering for Time Series Data -- Introduction -- Background -- Dimensionality Reduction -- Clustering for Time Series Data -- locations are often termed the seeds for the k-Means algorithm.2.3 Time Series Motifs and the Brute-Force Algorithm for Finding Motifs -- The Proposed Clustering Method for Time Series Data -- How to Speed Up the Brute-Force Algorithm for Finding 1-Motifs -- How to Derive Initial Centers from Results of K-Means Clustering on 1-Motifs -- Experimental Evaluation -- Conclusions -- References -- Semi-Supervised Classification Using Tree-Based Self-Organizing Maps -- Introduction -- The Tree-Based Topology Oriented SOM -- The TTOSOM-Based Classifier -- Experimental Setup -- Results -- Conclusions -- References -- The Discovery and Use of Ordinal Information on Attribute Values in Classifier Learning -- Introduction -- Value of Ordinal Information -- Testing -- Results -- Discovering Orders -- Developing Methods -- Testing Order Discovery -- Random Orders for Ensemble Classifiers -- Conclusions and Further Work -- References -- Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data -- Introduction -- The MITI Algorithm -- Experimental Results -- MIRI: Using MITI to Learn Rule Sets -- Experimental Results -- Building Ensemble Classifiers -- Experimental Results -- Conclusions -- References -- Automatically Measuring the Quality of User Generated Content in Forums -- Introduction.
Problem Definition -- UGCQ Assessment Model -- Experiment -- Datasets -- Feature Selection -- Performance Evaluation -- Post Quality Classification -- Results -- Friedman Test -- Nemenyi Test -- Discussion -- Related Work -- Conclusion -- References -- Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features -- Introduction -- Related Work -- Genetically Enhanced Feature Selection -- Genetic Representation -- Wrapped Classifier Fitness Function -- Random Crossover -- Mutation -- Highest Fitness (Greedy) Selection -- Weighted Random Selection -- Weighted Random Selection with Simulated Annealing -- Complexity -- Experimental Results -- Conclusion -- References -- Penalized Least Squares for Smoothing Financial Time Series -- Introduction -- Current Methods -- Our Proposed Method -- Experiment Description -- Data -- Smoothness (Noise) Function -- Lag Function -- Cross Validation -- Results -- Conclusions -- References -- Logistic Regression with the Nonnegative Garrote -- Introduction -- Nonnegative Garrote -- Simulation -- Simulated Data -- Path Consistency -- Initial Estimates for the NNG -- Real Data -- Discussion and Recommendations -- References -- Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets -- Introduction -- The Consensus Clustering Problem -- Objective Function -- The Genetic Algorithm -- The Breast Cancer Datasets -- Results -- Comparison with Existing Subtypes -- Conclusion -- References -- Combining Instantaneous and Time-Delayed Interactions between Genes - A Two Phase Algorithm Based on Information Theory -- Introduction -- Background -- Bayesian Network (BN) -- Dynamic Bayesian Network (DBN) -- Information Theoretic Quantities -- The Method -- The Framework for Representation -- Finding the Appropriate Search Strategy -- Finding the Intra-slice Arc Directions. Simulation and Results -- Synthetic Network -- Real-Life Biological Data -- Conclusion -- References -- A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps -- Introduction -- Laplacian Eigenmaps and Spectral Clustering -- Sparse Grids -- Sparse-Grid-Based Out-of-Sample Extension -- Experiments -- Conclusion -- References -- Distribution Based Data Filtering for Financial Time Series Forecasting -- Introduction -- Related Work -- Distribution Based Samples Removing Algorithm -- Distance Value - Threshold Based Decision -- Distance Value - Percentage Based Decision -- Datasets -- Experiments -- Conclusion -- References -- Sequential Feature Selection for Classification -- Introduction -- Framework -- General Idea -- Sequential Classification -- Action Selection without Replacement -- Solving the POMDP -- Experiments and Discussion -- Handwritten MNIST Digit Classification -- Diabetes Dataset with Naive Bayes Classification -- Discussion -- Conclusion -- References -- Long-Tail Recommendation Based on Reflective Indexing -- Introduction -- Novelty as an Important Value of Long-Tail Recommendations -- Methodological Assumptions -- Contribution of the Paper -- Algebraic Model for PRI -- Modeling User-Item Dependencies as a Probability Space -- Reflective Data Processing -- The PRI Algorithm -- Evaluation -- Data Sets -- Recommendation Quality Evaluation -- Conclusions -- References -- Author Name Disambiguation for Ranking and Clustering PubMed Data Using NetClus -- Introduction -- Related Work -- The Challenges of Author Name Disambiguation on PubMed -- Related Work on Disambiguation of PubMed Authors -- A Multi-evidence Author Disambiguation System -- Disambiguation Using Organisation Names and Addresses -- Disambiguation Using Co-author Network -- Evaluation of the Disambiguation Technique. Accuracy of the Proposed Disambiguation Technique -- Evaluation of NetClus Results -- Conclusion and Future Work -- References -- Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management -- Introduction -- Background: Mining Diabetic Patient Data -- Application -- Chronic Disease Management (CDM) -- Chronic Disease Management Network (cdmNet) -- Chronic Disease Management Network - Business Intelligence (cdmNet-BI) Module -- The Self-Organizing Map (SOM) -- The Growing Self-Organizing Map (GSOM) -- Patterns in Diabetes Management -- Analysis of Features Common to Any Individual -- Analysis of Common Features with Diabetes Specific Medical Features -- Patterns Recognised from Diabetes Data: Outcomes -- Conclusions and Future Work -- References -- Distance-Based Feature Selection on Classification of Uncertain Objects -- Introduction -- Related Work -- Problem Definition -- UK-Means -- Supervised UK-Means -- Algorithms -- Averaging Approach -- Distribution-Based Approach -- Experimental Results -- Data Sets -- Performance Evaluation -- Conclusion -- References -- Session 2: Machine Learning -- Closure Spaces of Isotone Galois Connections and Their Morphisms -- Introduction -- Preliminaries: Matrices, Decompositions, Concept Lattices -- Closure Spaces Induced by (^,V) -- Morphisms of c-Closure Spaces -- Isomorphic c-Closure Spaces -- Conclusions -- References -- Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data -- Introduction -- Related Work: Ensemble Learning for Class Imbalance -- Multi-Objective GP (MOGP) for Evolving Ensembles -- GP Framework for Classification -- MOGP Fitness -- MOGP Search -- MOGP Ensemble Performance -- Evolutionary Parameters and Unbalanced Data Sets -- MOGP Ensemble Results -- Ensemble Pruning -- Fitness-Based Pruning. GP for Evolving Composite Voting Trees -- Performance of Ensembles Using Puning Methods -- Conclusions -- References -- Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs -- Introduction -- Preliminary -- Bayesian Networks -- Parameter Learning Problem for BNs -- Proposed Method -- Encoding and Compiling -- Learning -- Experiments -- Conclusion and Related Work -- References -- An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution -- Introduction -- Designed Framework -- Evaluation Metrics -- Experimental Setting -- Selection of Base Learners -- Data-Sets -- Experimental Results Analysis -- Statistical Test -- Comparison between Bagging and Single Learners -- Comparison between Bagging Predictors -- Conclusion -- References -- A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems -- Introduction -- Bayesian Feature Ranking (BFR) Algorithm -- Discussion and Results -- Simulated Data -- Real Data -- Conclusion -- References -- Semi-random Model Tree Ensembles: An Effective and Scalable Regression Method -- Introduction -- Random Model Trees -- Experiments -- Linear Regression -- Gaussian Process Regression -- Additive Groves -- Random Model Trees -- Results -- Relative Mean Absolute Error -- Conclusions -- References -- Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold -- Introduction -- Proposed Method -- Multi-class Lagrangian SVM -- Learning the Projection -- Experiments -- Conclusion -- References -- Bagging Ensemble Selection -- Introduction -- Bagging Ensemble Selection -- Experimental Results -- Comparison of Bagging Ensemble Selection Algorithms to the Forward Ensemble Selection Algorithms -- Comparison of Bagging Ensemble Selection Algorithms to Other Ensemble Learning Algorithms -- Conclusions. References. |
| Record Nr. | UNISA-996465973703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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AI and Financial Technology
| AI and Financial Technology |
| Autore | Giudici Paolo |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 electronic resource (92 p.) |
| Soggetto topico |
Science: general issues
Computer science |
| Soggetto non controllato |
FinTech
SupTech RegTech AI machine learning P2P lending Blockchain |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557669603321 |
Giudici Paolo
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| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI Art : Machine Visions and Warped Dreams
| AI Art : Machine Visions and Warped Dreams |
| Autore | Zylinska Joanna |
| Pubbl/distr/stampa | London, : Open Humanities Press, 2020 |
| Descrizione fisica | 1 electronic resource (181 p.) |
| Soggetto topico | Information technology: general issues |
| Soggetto non controllato |
computers
algorithmic art AI |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | AI Art |
| Record Nr. | UNINA-9910557180503321 |
|
Zylinska Joanna
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| London, : Open Humanities Press, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The AI marketing canvas : a five-stage road map to implementing artificial intelligence in marketing / / Rajkumar Venkatesan & Jim Lecinski
| The AI marketing canvas : a five-stage road map to implementing artificial intelligence in marketing / / Rajkumar Venkatesan & Jim Lecinski |
| Autore | Venkatesan Rajkumar |
| Pubbl/distr/stampa | Stanford, California : , : Stanford Business Books, , [2021] |
| Descrizione fisica | 1 online resource (272 p.) |
| Disciplina | 658.800285/63 |
| Soggetto topico | Artificial intelligence - Marketing applications |
| Soggetto non controllato |
AI for marketing
AI strategy AI artificial intelligence digital marketing machine learning marketing strategy marketing one-to-one marketing online marketing |
| ISBN | 1-5036-2804-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Notice to Readers -- Figures -- PART 1. The Challenge and the Solution -- PART 2. AI and Marketing Essentials -- PART 3. The AI Marketing Canvas -- PART 4. Implementation -- Acknowledgments -- Notes -- Index -- About the Authors |
| Record Nr. | UNINA-9910554206203321 |
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Venkatesan Rajkumar
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| Stanford, California : , : Stanford Business Books, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Oral Health
| Artificial Intelligence in Oral Health |
| Autore | Lee Jae-Hong |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
machine learning
artificial intelligence malocclusion diagnostic imaging active learning maxillary sinusitis convolutional neural network deep learning segmentation oral microbiota LEfSe PCoA alloprevotella prevotella core microbiota artificial neural networks oral cancer diagnosis oral cancer prediction pit and fissure sealants caries assessment visual examination clinical evaluation convolutional neural networks transfer learning deep learning network YOLOv4 mandibular third molar inferior alveolar nerve contact relationship panoramic radiograph deep learning methods caries diagnosis dental panoramic images radiography Fourier transform infrared spectroscopy FTIR imaging spectral biomarker multivariate analysis discriminant model oral squamous cell carcinoma oral epithelial dysplasia oral potentially malignant disorder risk stratification early oral cancer detection dentigerous cysts histopathology images image classification odontogenic keratocysts radicular cysts AI screening diagnosis dentistry ultrasonography tongue algorithm dysphagia impacted tooth detection neural networks proximal caries training strategy small dataset periapical radiograph X-ray tooth extraction oroantral fistula operative planning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595066803321 |
|
Lee Jae-Hong
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Superintelligence: Coordination & Strategy
| Artificial Superintelligence: Coordination & Strategy |
| Autore | Yampolskiy Roman |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto non controllato |
strategic oversight
multi-agent systems autonomous distributed system artificial superintelligence safe for design adaptive learning systems explainable AI ethics scenario mapping typologies of AI policy artificial intelligence design for values distributed goals management scenario analysis Goodhart’s Law specification gaming AI Thinking VSD AI human-in-the-loop value sensitive design future-ready forecasting AI behavior AI arms race AI alignment blockchain artilects policy making on AI distributed ledger AI risk Bayesian networks artificial intelligence safety conflict AI welfare science moral and ethical behavior scenario network mapping policymaking process human-centric reasoning antispeciesism AI forecasting transformative AI ASILOMAR judgmental distillation mapping terraforming pedagogical motif AI welfare policies superintelligence artificial general intelligence supermorality AI value alignment AGI predictive optimization AI safety technological singularity machine learning holistic forecasting framework simulations existential risk technology forecasting AI governance sentiocentrism AI containment |
| ISBN | 3-03921-854-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial Superintelligence |
| Record Nr. | UNINA-9910404084203321 |
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Yampolskiy Roman
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss
| Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss |
| Autore | Bode Ingvild |
| Pubbl/distr/stampa | Montreal : , : McGill-Queen’s University Press, , [2022] |
| Descrizione fisica | 1 online resource (297 pages) : illustrations |
| Disciplina | 341.63 |
| Soggetto topico |
Autonomous weapons systems (International law)
Artificial intelligence - Military applications Artificial intelligence - Moral and ethical aspects Autonomous weapons systems - Moral and ethical aspects |
| Soggetto non controllato |
AI
Peace air defense system autonomy conflict constructivist disarmament human machine interaction international law killer robots non-governmental norm emergence policy public regulation relations research science security algorithms technology think tanks war weaponized artificial intelligence |
| ISBN |
0-2280-0925-1
0-2280-0924-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- AUTONOMOUS WEAPONS SYSTEMS AND INTERNATIONAL NORMS -- Title -- Copyright -- Contents -- Tables and figures -- Acknowledgements -- Abbreviations -- Introduction -- 1 Autonomous Weapons Systems and International Relations -- 2 New Technologies of Warfare: Emergence and Regulation -- 3 International Law, Norms, and Order -- 4 Norms in International Relations -- 5 How Autonomous Weapons Systems Make Norms -- Conclusion -- Notes -- References -- Index. |
| Record Nr. | UNINA-9910795554703321 |
|
Bode Ingvild
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| Montreal : , : McGill-Queen’s University Press, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss
| Autonomous Weapons Systems and International Norms / / Ingvild Bode and Hendrik Huelss |
| Autore | Bode Ingvild |
| Pubbl/distr/stampa | Montreal : , : McGill-Queen’s University Press, , [2022] |
| Descrizione fisica | 1 online resource (297 pages) : illustrations |
| Disciplina | 341.63 |
| Soggetto topico |
Autonomous weapons systems (International law)
Artificial intelligence - Military applications Artificial intelligence - Moral and ethical aspects Autonomous weapons systems - Moral and ethical aspects |
| Soggetto non controllato |
AI
Peace air defense system autonomy conflict constructivist disarmament human machine interaction international law killer robots non-governmental norm emergence policy public regulation relations research science security algorithms technology think tanks war weaponized artificial intelligence |
| ISBN |
0-2280-0925-1
0-2280-0924-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- AUTONOMOUS WEAPONS SYSTEMS AND INTERNATIONAL NORMS -- Title -- Copyright -- Contents -- Tables and figures -- Acknowledgements -- Abbreviations -- Introduction -- 1 Autonomous Weapons Systems and International Relations -- 2 New Technologies of Warfare: Emergence and Regulation -- 3 International Law, Norms, and Order -- 4 Norms in International Relations -- 5 How Autonomous Weapons Systems Make Norms -- Conclusion -- Notes -- References -- Index. |
| Record Nr. | UNINA-9910821549503321 |
|
Bode Ingvild
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| Montreal : , : McGill-Queen’s University Press, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data in Dental Research and Oral Healthcare
| Big Data in Dental Research and Oral Healthcare |
| Autore | Joda Tim |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (112 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
digital transformation
rapid prototyping augmented and virtual reality (AR/VR) artificial intelligence (AI) machine learning (ML) personalized dental medicine tele-health patient-centered outcomes integrated care, medical–dental integration, simulation model, dental research oral medicine oral healthcare dentistry gerodontology elderly patient big data Big Data digital dentistry oral health ethical issues dental education augmented reality (AR) virtual reality (VR) artificial intelligence AI machine learning ML cone beam computed tomography (CBCT) intraoral scanning facial scanning healthcare cost medical healthcare cost dental healthcare cost zero-inflated model neural network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557123403321 |
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Joda Tim
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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C++ Programming Fundamentals
| C++ Programming Fundamentals |
| Autore | Malhotra D |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York : , : Mercury Learning & Information, , 2022 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 005.133 |
| Altri autori (Persone) | MalhotraN |
| Soggetto topico | COMPUTERS / Programming Languages / C++ |
| Soggetto non controllato |
AI
arrays computer science developers embedded systems file handling game design pointers polymorphism programming video game |
| ISBN |
1-68392-974-8
1-68392-975-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title -- Copyright -- Contents -- Preface -- Acknowledgments -- Chapter 1 C++ and Beyond -- Introduction -- 1.1 The Origin of C++ -- 1.2 Why Use C++? -- 1.3 Various Programming Paradigms -- 1.3.1 Structural Programming -- 1.3.2 Procedural Programming -- 1.3.3 Object Oriented Programming -- 1.4 C++ Basics -- 1.4.1 Variables -- 1.4.2 Data Types -- 1.4.3 Data Modifiers -- 1.t C++ Execution Flow -- Summary -- Exercises -- Theory Questions -- MCQ-Based -- Practical Application -- References -- Books -- Websites -- Chapter 2 Basic Play in C++ -- 2.1 Literals, Constants, and Qualifiers -- 2.2 Stream-Based IO -- 2.3 Comments -- 2.4 Operators and Types -- 2.4.1 Types of Operators in C++ -- 2.5 Type Conversion -- 2.6 Keywords -- 2.7 Loops in C++ -- 2.9 Control Statements -- 2.9 Defining Functions -- 2.9.1 Why Use Functions? -- 2.10 C vs. C++ -- Summary -- Exercises -- Theory Questions -- MCQ-Based -- Practical Questions -- References -- Books -- Websites -- Chapter 3 Arrays and Strings -- 3.1 What is an Array? -- 3.1.1 Ways to Declare Arrays -- 3.1.2 Ways to Access Array Members -- 3.1.3 Traversing a 1D Array -- 3.2 Operations on an Array -- 3.2.1 Passing an Array to Functions -- 3.2.2 Finding the Length -- 3.2.3 Enum in C++ -- 3.2.4 Searching -- 3.3 Multi-Dimensional Array -- 3.4 Strings -- 3.5 String Functions -- Summary -- Exercises -- Theory Questions -- MCQ-Based -- Practical Questions -- References -- Books -- Websites -- Chapter 4 Pointers in C++ -- 4.1 Introduction -- 4.2 Pointers: Declaration and Initialization -- 4.3 Casting and Passing Pointers -- 4.3.1 Typecasting -- 4.3.2 Passing -- 4.4 Using Pointers with Arrays -- 4.5 Pointer Use -- Summary -- Exercises -- Theory Questions -- Practical Questions -- MCQ-Based -- References -- Books -- Websites -- Chapter 5 Classes in C++ -- 5.1 Class Making.
5.2 Constructors and Destructors -- 5.3 The This Pointer -- 5.4 Class Methods -- 5.5 The static Keyword -- 5.6 Memory Management and Garbage Collection in C++ -- Summary -- Exercises -- Theory Questions -- Practical Questions -- MCQ-Based -- References -- Books -- Websites -- Chapter 6 Inheritance -- 6.1 Introduction -- 6.2 Inheritance -- 6.2.1 Access Specifiers -- 6.2.2 Inheritance Modes -- 6.3 Types of Inheritance -- 6.4 Constructor Calling -- 6.5 Implementing Inheritance -- Summary -- Exercises -- Theory Questions -- Practial Questions -- MCQ-Based -- References -- Books -- Websites -- Chapter 7 Polymorphism -- 7.1 Introduction -- 7.2 Dynamic vs. Static Binding -- 7.3 Interface and Implementation -- 7.4 Function Overriding and Overloading -- 7.5 Friend and Generic Functions -- 7.5.1 Friend Functions -- 7.5.2 Generic Functions -- 7.6 Namespaces -- Summary -- Exercises -- Theory Questions -- Practical Questions -- MCQ-Based -- References -- Books -- Websites -- Chapter 8 Operator Overloading -- 8.1 Basics -- 8.2 How to Overload an Operator? -- 8.3 Overloading Unary Operators -- 8.4 Overloading Binary Operators -- 8.5 Overloading by Friend Function -- Summary -- Exercises -- Theory Questions -- Practical Questions -- MCQ-Based -- References -- Books -- Websites -- Chapter 9 Structure and Union -- 9.1 Structure: Declaration and Definition -- 9.2 Accessing a Structure -- 9.3 Union -- 9.4 Differences Between Structure and Union -- 9.5 Enum in C++ -- Summary -- Exercises -- Theory Questions -- Practical Questions -- MCQ-Based -- References -- Books -- Websites -- Chapter 10 Exception Handling -- 10.1 Errors and Exceptions -- 10.2 Exception Handling -- 10.3 Various Exceptions -- 10.4 Custom Exceptions in C++ -- Summary -- Exercises -- Theory Questions -- Practical Questions -- MCQ-Based -- References -- Books -- Websites -- Chapter 11 File Handling. 11.1 Files and Streams -- 11.2 File Operations -- 11.3 Random Access and Object Serialization -- Summary -- Exercises -- Theory Questions -- Practical Questions -- MCQ-Based -- References -- Books -- Websites -- Index. |
| Record Nr. | UNINA-9910838375803321 |
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Malhotra D
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| New York : , : Mercury Learning & Information, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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