SUPPORT VECTOR MACHINE FOR MULTICLASS CLASSIFICATION OF REDUNDANT INSTANCES

SUPPORT VECTOR MACHINE HAS BECOME ONE OF THE MOST IMPORTANT CLASSIFICATION TECHNIQUES IN PATTERN RECOGNITION, MACHINE LEARNING, AND DATA MINING.

AN EFFICIENT MACHINE LEARNING PREDICTION METHOD FOR VEHICLE DETECTION: DATA ANALYTICS FRAMEWORK

THE RISE IN POPULATION HAS LED TO A CORRESPONDING INCREASE IN THE NUMBER OF VEHICLES ON THE ROADWAYS.

STREAMLINING STOCK PRICE ANALYSIS: HADOOP ECOSYSTEM FOR MACHINE LEARNING MODELS AND BIG DATA ANALYTICS

INTEGRATING MACHINE LEARNING MODELS WITHIN THIS ECOSYSTEM ALLOWS FOR ADVANCED ANALYTICS AND PREDICTIVE MODELING.

COGNITIVE APPROACH USING SFL THEORY IN CAPTURING TACIT KNOWLEDGE IN BUSINESS INTELLIGENCE

THE COMPLEXITY OF BUSINESS INTELLIGENCE (BI) PROCESSES NEED TO BE EXPLORED IN ORDER TO ENSURE THE BI SYSTEM PROPERLY TREATS THE TACIT KNOWLEDGE AS PART OF THE DATA SOURCE IN THE BI FRAMEWORK.

TACIT KNOWLEDGE FOR BUSINESS INTELLIGENCE FRAMEWORK: A PART OF UNSTRUCTURED DATA?

IDEA TO CAPTURE KNOWLEDGE FROM DIFFERENT SOURCES CAN BE VERY BENEFICIAL TO BUSINESS INTELLIGENCE (BI).

Sekilas mengenai Cognitive Computing

11:08 PM  TheBigBang  No comments

Cognitive Computing atau Komputasi Kognitif

Cognitive Computing atau komputasi kognitif. Apakah itu? Komputasi kognitif secara general dapat dikatakan sebagai sebuah simulasi dari proses pemikiran manusia ke dalam bentuk dan model terkomputerisasi atau terkomputasi. Komputasi kognitif melibatkan sistem belajar (self-learning) mandiri dalam sebuah sistem yang menggunakan data mining, pengenalan pola dan pengolahan bahasa pemrograman untuk meniru cara kerja otak manusia dalam sebuah sistem. Tujuan dari komputasi kognitif adalah untuk menciptakan sistem IT yang secara otomatis mampu memecahkan masalah tanpa memerlukan bantuan manusia.

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