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23 results on '"Guergachi A"'

7. Patient-specific seizure detection in long-term EEG using wavelet decomposition.

Author

Kaleem, Muhammad, Guergachi, Aziz, and Krishnan, Sridhar

Subjects
SPASMS, ELECTROENCEPHALOGRAPHY, PEOPLE with epilepsy, WAVELETS (Mathematics), DIAGNOSIS
Abstract

Highlights • Simple method for patient-specific seizure detection in long-term EEG. • Three features extracted from wavelet components. • Seizure detection performed using five classifiers and k -fold cross-validation. • Seizures detected with accuracy of 99.6% using CHB-MIT EEG database. Abstract This paper presents a novel patient-specific seizure detection approach using wavelet decomposition of multi-channel EEG data and hand-engineered features extracted from the decomposed data. EEG data of all channels of each patient are segmented into four second segment lengths, and these segments are decomposed using discrete wavelet transform into four frequency bands corresponding to the δ , θ , α and β EEG rhythms. Three features are then extracted from each of these bands, which are used to classify the seizure and non-seizure segments. The proposed approach does not require any feature processing, or any post-processing for obtaining the seizure detection results. The CHB-MIT database with data of 23 pediatric patients is used for validation of the proposed seizure detection approach using five classifiers, and accuracy, sensitivity and specificity values of 99.6%, 99.8% and 99.6% respectively, averaged over all 23 patients, are obtained using five-fold cross-validation method. The obtained seizure detection results are compared with the results of other studies using the same database, and shown to out-perform the state-of-the-art. Furthermore, the obtained results are consistent over the data of all the patients, thereby demonstrating the robustness of the approach. The computational efficiency of the proposed approach, which is another highlight of the approach, is also illustrated in the form of metrics. The suitability of the approach for seizure detection in long-term multi-channel EEG recordings is also discussed. [ABSTRACT FROM AUTHOR]

Published
2018
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8. Performance Analysis of Data Mining Classification Techniques to Predict Diabetes.

Author

Perveen, Sajida, Shahbaz, Muhammad, Guergachi, Aziz, and Keshavjee, Karim

Subjects
DATA mining, DIABETES, DISEASE prevalence, SOCIOECONOMIC factors, DECISION support systems, PREDICTION models, PRIMARY care
Abstract

Diabetes Mellitus is one of the major health challenges all over the world. The prevalence of diabetes is increasing at a fast pace, deteriorating human, economic and social fabric. Prevention and prediction of diabetes mellitus is increasingly gaining interest in healthcare community. Although several clinical decision support systems have been proposed that incorporate several data mining techniques for diabetes prediction and course of progression. These conventional systems are typically based either just on a single classifier or a plain combination thereof. Recently extensive endeavors are being made for improving the accuracy of such systems using ensemble classifiers. This study follows the adaboost and bagging ensemble techniques using J48 (c4.5) decision tree as a base learner along with standalone data mining technique J48 to classify patients with diabetes mellitus using diabetes risk factors. This classification is done across three different ordinal adults groups in Canadian Primary Care Sentinel Surveillance network. Experimental result shows that, overall performance of adaboost ensemble method is better than bagging as well as standalone J48 decision tree. [ABSTRACT FROM AUTHOR]

Published
2016
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10. CHAPTER 12: ADVANCED TOPICS FOR RESEARCHERS.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 12 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on how selling and sales management can be handled as a systems engineering problem and how X-Be can contribute. It draws an example to understand how the X-Be framework can be implemented in a sales organization. It briefly describes the role of X-Be in depicting other types of social and business interactions and exchanges in a systematic fashion.

Published
2008

11. CHAPTER 11: THEORETICAL FOUNDATIONS.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 11 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It focuses on the topic concerning selling and sales management. It discusses the fields of philosophy of science, decision sciences, cognitive psychology, behavioral studies, sociology, and systems engineering. An overview of the proposed theory for the field of selling and sales management is offered.

Published
2008

12. CHAPTER 10: PUTTING THE ELEMENTS TOGETHER: A ROADMAP FOR EFFECTIVE SELLING AND SALES MANAGEMENT.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 10 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on putting elements of the X-Be framework together to formulate different roadmaps for selling to organizations and consumers. An overview on how sellers could apply those elements in an integrated manner is offered. A detailed discussion on other sales related issues that can be analyzed and effectively resolved within the X-Be framework is given.

Published
2008

13. CHAPTER 9: DEALING WITH COMPETITION: AN APPROACH FROM THE PERSPECTIVE OF CUSTOMER VALUE.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 9 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on competition approach in an exchange process like selling. It focuses on the study of competition on the customer's view, which is the one ultimately determines whether and where a seller could win a sale. The said approach enable salespeople and sales managers to effectively assess their respective sales performance in a competitive environment

Published
2008

14. CHAPTER 8: SELLING STATUS INDICES: MEASURES FOR MONITORING THE VALUE INTEGRATION PROCESS.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 8 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on selling status indices which helps salesperson and sales manager in evaluating and managing the said status. It provides measures for monitoring the value integration process.

Published
2008

15. CHAPTER 7: APPROPRIATE COMMUNICATORS AND NETWORKED RESOURCES: FACILITATORS OF VALUE FORMATION AND EXCHANGE.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 7 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on the sixth building block of the X-Be framework that help dealing with the issues, including the appropriate communicator and networked resources. It highlights the important role of third parties and the invaluable relationship resource that they provide for both the seller and purchaser during the process of customer communication.

Published
2008

16. CHAPTER 6: DELIVERABILITY AND INTEGRATED PRODUCT: TOTALITY OF A PURCHASE IN TERMS OF VALUE.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 6 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on the fifth building block of the X-Be framework, which refers to deliverability and integrated product. It informs the concept of deliverability to handle the customer-perceived buying risks and objections. It defines the meaning of integrated product or simply product in the X-Be framework and discuss its implications in selling.

Published
2008

17. CHAPTER 5: BUYING POINTS AND SELLING POINTS: EXPRESSION OF CUSTOMER VALUE.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 5 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on the buying points and selling points, the expression of customer value in purchasing behavior. It briefly describes and discusses the nature of customer value. It draws an example to distinct between buying points and selling points.

Published
2008

18. CHAPTER 4: VIEWS ON CRITERIA: BASE FOR JUDGING VALUE.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 4 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It focuses on the process of how the customer-perceived value is formed, and the various tactics and tactics that are available to the seller to effectively deal with this process. It illustrates the views on criteria of key persons in terms of the selecting points and the associated rationale

Published
2008

19. CHAPTER 3: KEY PERSONS AND CORE OPINION LEADERS: VALUE ROLES ON THE PART OF CUSTOMER.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 3 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on the buying roles for consumer marketing as well as for industrial marketing. It presents practical classification of key persons and core opinion leaders (COLs) to influence the course of the purchasing process and help sellers focus on the relevant and appropriate messages that pertain to the process of customer value formation, communication, and exchange.

Published
2008

21. CHAPTER 1: OVERVIEW OF THE (1+7) ELEMENTS OF X-Be.

Author

Peng Sheng and Guergachi, Aziz

Abstract

Chapter 1 of the book "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented. It explores on the exchange behavior in selling and sales Management or X-Be. An overview of the (1+7) building blocks of X-Be is offered. A graphical form of the five phases of the purchase process (PPP) is presented.

Published
2008

22. System models or learning machines?

Author

Guergachi, Aziz and Boskovic, Goran

Subjects
*MACHINE learning, *ENVIRONMENTAL sciences, *ECONOMIC systems, *COMPLEXITY (Philosophy), *ALGORITHMS, *MATHEMATICAL models
Abstract

Abstract: This paper focuses on the issues and challenges that are encountered in the area of modeling, identification and state estimation of environmental and economic systems. It is argued that the traditional modeling and identification approach is not appropriate for the highly complex systems that we deal with nowadays in environmental science and economics. We propose that the researchers shift their attention and efforts from attempting to actually develop system models to designing algorithms that get the machine to learn about the behavior of the system. We attempt to make the case that traditional modeling techniques do not work for complex systems by introducing the notion of ‘hard’ and ‘soft’ variables. The advantages of machine learning theory and how it can be used to assess the quality of a given model (or learning machine) are discussed. A new approach that implements the notion of VC dimension and the principle of structural risk minimization is proposed to link system macro-descriptions to agent-based models. The techniques of support vector machines and kernel learning are discussed, and explanations as to how kernels can reproduce the knowledge expressed in (empirical and universal) laws are provided. Finally, a small application to the problem of spatial downscaling of the GDP aggregate data is presented. [Copyright &y& Elsevier]

Published
2008
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23. PREFACE.

Author

Peng Sheng and Guergachi, Aziz

Abstract

A preface for the January 1, 2008 issue of the "Exchange Behavior in Selling and Sales Management," by Peng Sheng and Aziz Guergachi is presented.

Published
2008

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