In e-commerce websites and related micro-blogs, users supply online reviews expressing their preferences regarding various items. Such are typically in the textual comments form, account for a valuable information source about user interests. Recently, several works have used review texts rich like words, topics sentiments, improving rating-based collaborative filtering recommender systems. These vary from one another on how they exploit deriving This paper provides detailed survey of recent...

A large amount of data are generated every moment by connected objects creating Internet Things (IoT). These difficult to handle using traditional databases leading use NoSQL databases. latter have achieved a popularity thanks their high performance, flexibility in scaling, and availability. But, which database is the most suitable for IoT applications? In this paper, we discuss main requirements management, compare five popular namely, Redis, Cassandra, MongoDb, Couchbase Neo4j, accordance...

In this paper, we present a new fractal-based indexing scheme that can handle different variations and disturbances of the query image. Our approach is "query-by-example" based on convergence speed decompression process. It consists in one application stored image iterated function system (IFS) to one. Two questions then be answered. The first existence query: if it exists database find immediately. second concerns retrieval similar images which are given order similarity query. disimilarity...

Abstract Various recommender systems (RSs) have been developed over recent years, and many of them concentrated on English content. Thus, the majority RSs from literature were compared However, research investigations about when using contents in other languages such as Arabic are minimal. The researchers still neglect field RSs. Therefore, we aim through this study to fill gap by leveraging benefit advances field. Our main goal is investigate an context. For that, firstly selected five...

Systems composed of many components which interact with each other and lead to unpredictable global behaviour, are considered as complex systems. In a biological context, systems represent living large number interacting elements. order study these systems, precise mathematical modelling was typically used in this context. However, has limitations the structural understanding behavioural study. sense, formal computational is an approach that allows model simulate dynamical properties...

A huge volume of data is analyzed by organizations to understand their clients and improve services. In many cases, these are stored separately in different database systems need be integrated before being used analysis tools or prediction applications. One the main tasks integration process definition global schema. Defining a schema context NoSQL demanding task since it necessitates dealing with variety issues, including lack local schemas, model heterogeneity, semantic heterogeneity. To...

In the past few years, Tweets have been widely used to perform Big Data analysis. However, incredible amount of data captured by Twitter needs be stored for further processing which may a challenging task many database systems. NoSQL is generation databases that aim handle large volume data. However there set systems, each has its own characteristics. Consequently choosing suitable system challenging. Based on these motivations, this work carried out find manage Tweets. This paper presents...

When modeling a business process or when updating an existing one, analyzer is available to reuse parts already operational. Indeed, minimize time of creation and reduce cost complexity, solution can be given by the some parts. The need fulfill companies’ requirements leads extracting fragments from model. aim this paper propose method which enables obtain process. main idea decompose into small fragments. These have ability reused for building new one. authors presented as guidelines that...

This work relates to SQL query plan reuse based optimization in Database Management Systems (DBMS). We use a collaborative recommendation approach that helps the DBMS optimizer detect similarity between old queries (already executed by optimizer) and new upcoming (that are yet execute). kind of methods, allows access plans execute future which reduces t he cost. In our research, we benefit from clustering techniques establish similarity. Hence, recommended using log approach.

Smart homes are houses equipped by computational technology to assist inhabitants in several situations. To design these complex systems we have take into account the inhabitant's experiences and needs. A modeling language supporting semantic aspect allows close end user Such is general based on concept of ontology. However research including ontologies smart still limited. In this paper define a home, study proposed approaches present ONDAR, an ontology for home automation.

Component-based development methods (CBDM) become largely adopted and used. They replace the traditional by introduction, in their lifecycle, of two processes: design for reuse reuse. However, these processes are not clearly established combined majority CBDM. This paper aims to propose an approach extend a CBDM processes, using Symphony method as reference. A special interest is given business component which we conceptual model based on variability concept that consider key property process.

If a modeling task is distributed, it will frequently be necessary to integrate models developed by different team members. Problems occur in the integration step and particularly, comparison phase of integration. This issue had been discussed several domains various models. However, previous approaches have not correctly handled semantic comparison. In current paper, we provide MDA-based approach for which aims at comparing UML We develop an hybrid takes into account syntactic, structural...

Recommender systems are powerful tools that help users to deal with information overload problem. Collaborative Filtering (CF) approach has been widely used build recommender over the past decades. However, performance of CF is limited by sparsity and cold start problems, which very common in real world situations. In recent years, many review-based approaches have developed integrate textual reviews into recommendation process, since they provide much more about item/user profiles than...

Alzheimer's disease is the most common form of dementia. It among major causes death in world. has been proved that associated with elevated concentrations homocysteine. Being part a complex biological system, we can model it to study its behaviour and predict deregulations earlier. In this sense, mathematical modelling limitations study. order respond these limits, adoption computer become increasingly widespread systems biology.

Autism spectrum disorder (ASD) is one of the most popular disorders. Many researches and experiments in world have been conducted to study causes ASD. It has proved that ASD associated with elevated concentrations homocysteine low cerebral folic acid. Being part a complex biological system, we can model it its behaviour relatively metabolic predict deregulations earlier. We use, this work, Petri net extension, called HFPN, order system related analyse effects some enzymes metabolites