Abarca Romero Melisa, K. F. Fabian, Jose Herrera Quispe
{"title":"Time series analysis of agro-meteorological through algorithms scalable data mining case: Chili river watershed, Arequipa","authors":"Abarca Romero Melisa, K. F. Fabian, Jose Herrera Quispe","doi":"10.1109/CLEI.2015.7359466","DOIUrl":"https://doi.org/10.1109/CLEI.2015.7359466","url":null,"abstract":"The paper proposes a model for predicting climate change, using algorithms in mining techniques based on approximate data, applied to agro-meteorological data, by identifying groups search of motifs and time series forecasting. To achieve the goal you work with the water balance components: flow, precipitation and evaporation; also took into account the climatic variety seasons marked by humidity (December, January, February, March) and dry (other months) providing better to abstract sub-classification for temporary data processing three classification techniques: linear regression, Naive Bayes and neural networks, where the results of each algorithm are compared with other results. Then the mathematical method of linear regression predicting water balance components for a period of approximately 12 months on the data of dams Pane and Fraile Water Resources in River Basin Chili, Arequipa is performed.","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129190619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved batch elimination: A fast algorithm to identify and remove harmful compiler optimizations","authors":"Ewerton Daniel de Lima, A. F. Silva","doi":"10.1109/CLEI.2015.7360010","DOIUrl":"https://doi.org/10.1109/CLEI.2015.7360010","url":null,"abstract":"Modern compilers provide several optimizations that can be applied to the source code, in order to increase its performance. Due to the complex relationship between various optimizations, discovering harmful compiler optimizations is a problem in the context of compilers. Strategies based on iterative compilation try to solve this problem evaluating the performance of the compiled program using different sets. In this context, Combined Elimination is an efficient iterative compilation strategy. The purpose of Combined Elimination is to identify the harmful optimizations and remove them in an iterative compilation process. Combined Elimination provides good results, which are close to those founded by an exhaustive search approach. However, its drawback is the number of program runs. In this paper, we proposed an iterative compilation algorithm, named Improved Batch Elimination. This algorithm is based on the first step towards Combined Elimination, the Batch Elimination algorithm. The goal of Improved Batch Elimination is to produce results similar to Combined Elimination, with a complexity similar to Batch Elimination. In other words, the goal is to produce good results and to be faster than Combined Elimination. We evaluate our algorithm by measuring the performance of Spec Cpu2006, Polybench and cBench benchmarks under a set of llvm compiler optimizations. The results indicate that Improved Batch Elimination is a good strategy to remove harmful compiler optimizations, using few program runs.","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125344758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards an ontology of business- and process architecture based on a business model","authors":"Bernhard Hitpass Heyl","doi":"10.1109/CLEI.2015.7359981","DOIUrl":"https://doi.org/10.1109/CLEI.2015.7359981","url":null,"abstract":"BPM as an integrated discipline postulated that technology has to follow the processes and processes the strategy. BPM literature emphasizes the importance and necessity of aligning strategy with business processes, but one of the main problems of people working in a unit of processes is to map and formally integrate strategic planning with organizational processes. The study of the literature shows that there are no accepted guidelines or standardized to guide professionals to achieve this integration. In this paper the author present a proposal for a business and process architecture ontology based on a business model as the basis for BPM governance. Process architecture will be extending to the level of the processes that contain the business logic that is used in operations. The ontology will be validated through an integrated case study.","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131338978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cooperative live coding as an instructional model","authors":"A. D. Carvalho","doi":"10.1109/CLEI.2015.7359464","DOIUrl":"https://doi.org/10.1109/CLEI.2015.7359464","url":null,"abstract":"The advances on technologies have provided many tools that inspired new instructional models. Learners and instructors are experiencing a diverse environment where everyone can participate from anywhere in the world and share the same learning platforms. Although we already have some manuals, tutorials, and also MOOCs that can be useful for people who wants to learn Computer Music languages, the musical interaction is not offered in these solutions. In this paper we present an instructional model for computer music and live coding based on a cooperative live coding environment where participants can teach and learn through distributed pair programming. We also discuss the fundamental ideas and the tool used on this work during the first experiments.","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124486907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Logical analysis of multi-class data","authors":"J. Herrera, M. M. Subasi","doi":"10.1109/CLEI.2015.7360007","DOIUrl":"https://doi.org/10.1109/CLEI.2015.7360007","url":null,"abstract":"Logical Analysis of Data (LAD) is a two-class learning algorithm which integrates principles of combinatorics, optimization, and the theory of Boolean functions. This paper proposes an algorithm based on mixed integer linear programming to extend the LAD methodology to solve multi-class classification problems, where One-vs-All (OvA) learning models are efficiently constructed to classify observations in predefined classes. The utility of the proposed approach is demonstrated through experiments on multi-class benchmark datasets.","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124707526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. L. Correa, Laura Raquel Bareiro Paniagua, José Luis Vázquez Noguera, Diego Pinto, Lizza A. Salgueiro Toledo
{"title":"Computerized Diagnosis of Melanocytic Lesions Based on the ABCD Method","authors":"D. L. Correa, Laura Raquel Bareiro Paniagua, José Luis Vázquez Noguera, Diego Pinto, Lizza A. Salgueiro Toledo","doi":"10.1109/CLEI.2015.7360029","DOIUrl":"https://doi.org/10.1109/CLEI.2015.7360029","url":null,"abstract":"Melanoma is a type of skin cancer and is caused by the uncontrolled growth of atypical melanocytes. In recent decades, computer aided diagnosis is used to support medical professionals; however, there is still no globally accepted tool. In this context, similar to state-of-the-art we propose a system that receives a dermatoscopy image and provides a diagnostic if the lesion is benign or malignant. This tool is based on next modules: Preprocessing, Segmentation, Feature Extraction and Classification. Preprocessing involves the removal of hairs. Segmentation is to isolate the lesion. Feature extraction is considering the ABCD dermoscopy rule. The classification is performed by the Support Vector Machine. Experimental evidence indicates that the proposal has 90.63 % accuracy, 95 % sensitivity and 83.33 % specificity on a dataset of 104 dermatoscopy images. These results are favorable considering the performance of diagnosis by traditional progress in the area of dermatology.","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126780046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance analysis of flock pattern algorithms in spatio-temporal databases","authors":"Omar Ernesto Cabrera Rosero, A. Romero","doi":"10.1109/CLEI.2014.6965180","DOIUrl":"https://doi.org/10.1109/CLEI.2014.6965180","url":null,"abstract":"Recent advances in technology and the widespread use of tracking global positioning systems, such as GPS and RFID, and mobile technologies have made the access to spatio-temporal datasets increase at an accelerated pace. This large amount of data has led to develop efficient techniques to process queries about the behavior of moving objects, like the discovering of patterns among trajectories in a continuous period of time. Several studies have focused on the query of patterns capturing the behavior of moving objects reflected in collaborations such as mobile clusters, convoy queries and flock patterns. In this paper, a comparison between two algorithms for flocking, Basic Flock Evaluation (BFE) and LCMFLOCK, is presented in order to measure their performance and behavior in different datasets, both synthetic and real. This research is the first step towards proposing new algorithms in order to improve the drawbacks reported by the former methods. Keywords—movement patterns, frequent patterns mining, spatio-temporal databases, flock patterns.","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124610435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge management steps, tools, techniques and influencing factors in SMEs: Systematic literature review","authors":"H. G. Alberti, Sebastian Ayala Pastorino","doi":"10.1109/CLEI.2014.6965108","DOIUrl":"https://doi.org/10.1109/CLEI.2014.6965108","url":null,"abstract":"","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Public Policy on Information Technology in Colombia: Bet on the future for the use and ownership of IT in society","authors":"Gina Paola Maestre Gongora","doi":"10.1109/CLEI.2014.6965109","DOIUrl":"https://doi.org/10.1109/CLEI.2014.6965109","url":null,"abstract":"","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121489266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deciphering event logs in SharePoint Server: A methodology based on process mining","authors":"Michael Arias, Eric Rojas Cordoba","doi":"10.1109/CLEI.2014.6965174","DOIUrl":"https://doi.org/10.1109/CLEI.2014.6965174","url":null,"abstract":"","PeriodicalId":263586,"journal":{"name":"Latin American Computing Conference / Conferencia Latinoamericana En Informatica","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124235987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}